Datasets:
pwc-archive
/
links-between-paper-and-code

Dataset card Data Studio Files
xet
Community
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https://paperswithcode.com/paper/videogpt-video-generation-using-vq-vae-and
VideoGPT: Video Generation using VQ-VAE and Transformers
2104.10157
https://arxiv.org/abs/2104.10157v2
https://arxiv.org/pdf/2104.10157v2.pdf
https://github.com/Alescontrela/viper_rl
false
false
true
jax
https://paperswithcode.com/paper/video-prediction-models-as-rewards-for
Video Prediction Models as Rewards for Reinforcement Learning
2305.14343
https://arxiv.org/abs/2305.14343v2
https://arxiv.org/pdf/2305.14343v2.pdf
https://github.com/Alescontrela/viper_rl
false
false
true
jax
https://paperswithcode.com/paper/dynamic-dual-attentive-aggregation-learning
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
2007.09314
https://arxiv.org/abs/2007.09314v1
https://arxiv.org/pdf/2007.09314v1.pdf
https://github.com/MindSpore-paper-code-3/code8/tree/main/DDAG
false
false
false
mindspore
https://paperswithcode.com/paper/optimizing-password-composition-policies
Optimizing Password Composition Policies
1302.5101
https://arxiv.org/abs/1302.5101v2
https://arxiv.org/pdf/1302.5101v2.pdf
https://github.com/sr-lab/skeptic-authority-template
false
false
true
none
https://paperswithcode.com/paper/stable-diffusion-reference-only-image-prompt
Stable Diffusion Reference Only: Image Prompt and Blueprint Jointly Guided Multi-Condition Diffusion Model for Secondary Painting
2311.02343
https://arxiv.org/abs/2311.02343v1
https://arxiv.org/pdf/2311.02343v1.pdf
https://github.com/aihao2000/stable-diffusion-reference-only
true
true
true
pytorch
https://paperswithcode.com/paper/source-free-open-set-domain-adaptation-for
Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology
2307.04596
https://arxiv.org/abs/2307.04596v3
https://arxiv.org/pdf/2307.04596v3.pdf
https://github.com/lts5/distill-soda
true
true
true
pytorch
https://paperswithcode.com/paper/panda-llm-training-data-and-evaluation-for
Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models
2305.03025
https://arxiv.org/abs/2305.03025v1
https://arxiv.org/pdf/2305.03025v1.pdf
https://github.com/dandelionsllm/pandallm
true
true
true
pytorch
https://paperswithcode.com/paper/video-object-segmentation-with-dynamic-query
Video Object Segmentation with Dynamic Query Modulation
2403.11529
https://arxiv.org/abs/2403.11529v1
https://arxiv.org/pdf/2403.11529v1.pdf
https://github.com/zht8506/qmvos
true
true
true
pytorch
https://paperswithcode.com/paper/the-atacama-cosmology-telescope-dr4-maps-and
The Atacama Cosmology Telescope: DR4 Maps and Cosmological Parameters
2007.07288
http://arxiv.org/abs/2007.07288v1
http://arxiv.org/pdf/2007.07288v1.pdf
https://github.com/htjense/pywmap
false
false
true
none
https://paperswithcode.com/paper/nine-year-wilkinson-microwave-anisotropy
Nine-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Parameter Results
1212.5226
https://arxiv.org/abs/1212.5226v3
https://arxiv.org/pdf/1212.5226v3.pdf
https://github.com/htjense/pywmap
false
false
true
none
https://paperswithcode.com/paper/five-year-wilkinson-microwave-anisotropy
Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Likelihoods and Parameters from the WMAP data
0803.0586
https://arxiv.org/abs/0803.0586v2
https://arxiv.org/pdf/0803.0586v2.pdf
https://github.com/htjense/pywmap
false
false
true
none
https://paperswithcode.com/paper/robust-stochastically-descending-unrolled
Robust Stochastically-Descending Unrolled Networks
2312.15788
https://arxiv.org/abs/2312.15788v2
https://arxiv.org/pdf/2312.15788v2.pdf
https://github.com/smrhadou/unrolledglow
true
true
false
pytorch
https://paperswithcode.com/paper/unsupervised-multimodal-clustering-for
Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances
2405.12775
https://arxiv.org/abs/2405.12775v1
https://arxiv.org/pdf/2405.12775v1.pdf
https://github.com/thuiar/umc
true
true
true
pytorch
https://paperswithcode.com/paper/mossformer2-combining-transformer-and-rnn-1
MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation
2312.11825
https://arxiv.org/abs/2312.11825v2
https://arxiv.org/pdf/2312.11825v2.pdf
https://github.com/modelscope/ClearerVoice-Studio
true
true
false
pytorch
https://paperswithcode.com/paper/metricgan-an-improved-version-of-metricgan
MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement
2104.03538
https://arxiv.org/abs/2104.03538v2
https://arxiv.org/pdf/2104.03538v2.pdf
https://github.com/wooseok-shin/MetricGAN-plus-pytorch
false
false
true
pytorch
https://paperswithcode.com/paper/2408-02416
Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models
2408.02416
https://arxiv.org/abs/2408.02416v2
https://arxiv.org/pdf/2408.02416v2.pdf
https://github.com/liangzid/promptextractioneval
true
true
true
pytorch
https://paperswithcode.com/paper/learning-the-evolution-of-physical-structure
Understanding Galaxy Morphology Evolution Through Cosmic Time via Redshift Conditioned Diffusion Models
2411.18440
https://arxiv.org/abs/2411.18440v2
https://arxiv.org/pdf/2411.18440v2.pdf
https://github.com/astrodatalab/lizarraga_2024
true
true
true
pytorch
https://paperswithcode.com/paper/petar-a-high-performance-n-body-code-for
PeTar: a high-performance N-body code for modeling massive collisional stellar systems
2006.16560
https://arxiv.org/abs/2006.16560v1
https://arxiv.org/pdf/2006.16560v1.pdf
https://github.com/lwang-astro/PeTar
true
false
true
none
https://paperswithcode.com/paper/stressid-a-multimodal-dataset-for-stress
StressID: a Multimodal Dataset for Stress Identification
null
https://openreview.net/forum?id=qWsQi9DGJb
https://openreview.net/pdf?id=qWsQi9DGJb
https://github.com/robustml-eurecom/stressid
true
true
false
none
https://paperswithcode.com/paper/single-image-dehazing-via-multi-scale
Single Image Dehazing via Multi-scale Convolutional Neural Networks
null
https://link.springer.com/chapter/10.1007/978-3-319-46475-6_10
https://link.springer.com/content/pdf/10.1007/978-3-319-46475-6.pdf
https://github.com/rwenqi/Multi-scale-CNN-Dehazing
false
false
false
none
https://paperswithcode.com/paper/distance-restricted-folklore-weisfeiler-leman-1
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power
2309.04941
https://arxiv.org/abs/2309.04941v3
https://arxiv.org/pdf/2309.04941v3.pdf
https://github.com/zml72062/dr-fwl-2
true
true
false
pytorch
https://paperswithcode.com/paper/implicitly-normalized-forecaster-with
Implicitly normalized forecaster with clipping for linear and non-linear heavy-tailed multi-armed bandits
2305.06743
https://arxiv.org/abs/2305.06743v3
https://arxiv.org/pdf/2305.06743v3.pdf
https://github.com/kutuz4/implicitlynormalizedforecasterwithclipping
true
true
true
none
https://paperswithcode.com/paper/fine-tuning-large-language-models-for-domain-1
Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities
2409.03444
https://arxiv.org/abs/2409.03444v1
https://arxiv.org/pdf/2409.03444v1.pdf
https://huggingface.co/lamm-mit/SmolLM-Base-1.7B-CPT-SFT-DPO-09022024
false
false
false
none
https://paperswithcode.com/paper/niutrans-an-open-source-toolkit-for-phrase
NiuTrans: An Open Source Toolkit for Phrase-based and Syntax-based Machine Translation
null
https://aclanthology.org/P12-3004
https://aclanthology.org/P12-3004.pdf
https://github.com/NiuTrans/NiuTrans.SMT
true
false
false
none
https://paperswithcode.com/paper/pope-6-dof-promptable-pose-estimation-of-any
POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference
2305.15727
https://arxiv.org/abs/2305.15727v1
https://arxiv.org/pdf/2305.15727v1.pdf
https://github.com/paulpanwang/POPE
false
false
true
pytorch
https://paperswithcode.com/paper/a-graph-based-approach-to-extracting
A graph-based approach to extracting narrative signals from public discourse
2411.00702
https://arxiv.org/abs/2411.00702v1
https://arxiv.org/pdf/2411.00702v1.pdf
https://github.com/pournaki/soteu-narratives
true
true
false
none
https://paperswithcode.com/paper/byzantine-robust-federated-learning-with
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
2205.11765
https://arxiv.org/abs/2205.11765v2
https://arxiv.org/pdf/2205.11765v2.pdf
https://github.com/sarthak-choudhary/hidra
false
false
true
pytorch
https://paperswithcode.com/paper/fall-of-empires-breaking-byzantine-tolerant
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation
1903.03936
http://arxiv.org/abs/1903.03936v1
http://arxiv.org/pdf/1903.03936v1.pdf
https://github.com/sarthak-choudhary/hidra
false
false
true
pytorch
https://paperswithcode.com/paper/joint-face-detection-and-alignment-using
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
1604.02878
http://arxiv.org/abs/1604.02878v1
http://arxiv.org/pdf/1604.02878v1.pdf
https://github.com/omaarelsherif/Face-Detection-Using-MTCNN
false
false
true
none
https://paperswithcode.com/paper/apsense-data-driven-algorithm-in-ppg-based
ApSense: Data-driven Algorithm in PPG-based Sleep Apnea Sensing
2306.10863
https://arxiv.org/abs/2306.10863v3
https://arxiv.org/pdf/2306.10863v3.pdf
https://github.com/iobt-vistec/apsense
true
true
false
pytorch
https://paperswithcode.com/paper/do-text-free-diffusion-models-learn
Do text-free diffusion models learn discriminative visual representations?
2311.17921
https://arxiv.org/abs/2311.17921v3
https://arxiv.org/pdf/2311.17921v3.pdf
https://github.com/soumik-kanad/diffssl
true
true
true
pytorch
https://paperswithcode.com/paper/multi-body-se-3-equivariance-for-unsupervised
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation
2306.05584
https://arxiv.org/abs/2306.05584v2
https://arxiv.org/pdf/2306.05584v2.pdf
https://github.com/jx-zhong-for-academic-purpose/Multibody_SE3
true
true
true
pytorch
https://paperswithcode.com/paper/attacking-byzantine-robust-aggregation-in
Attacking Byzantine Robust Aggregation in High Dimensions
2312.14461
https://arxiv.org/abs/2312.14461v3
https://arxiv.org/pdf/2312.14461v3.pdf
https://github.com/sarthak-choudhary/hidra
true
true
false
pytorch
https://paperswithcode.com/paper/coarse-grained-configurational-polymer
Coarse-Grained Configurational Polymer Fingerprints for Property Prediction using Machine Learning
2311.14744
https://arxiv.org/abs/2311.14744v1
https://arxiv.org/pdf/2311.14744v1.pdf
https://github.com/ishan-kumar2/configurational-polymer-fingerprint
true
true
true
pytorch
https://paperswithcode.com/paper/replay-based-for-recovering-autonomous
Diagnosis-guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks
2209.04554
https://arxiv.org/abs/2209.04554v5
https://arxiv.org/pdf/2209.04554v5.pdf
https://github.com/dependablesystemslab/delorean
true
true
false
none
https://paperswithcode.com/paper/adversarial-contrastive-learning-for-evidence
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks
2210.05498
https://arxiv.org/abs/2210.05498v1
https://arxiv.org/pdf/2210.05498v1.pdf
https://github.com/cripac-dig/getral
true
true
true
pytorch
https://paperswithcode.com/paper/is-chatgpt-a-good-multi-party-conversation
Is ChatGPT a Good Multi-Party Conversation Solver?
2310.16301
https://arxiv.org/abs/2310.16301v1
https://arxiv.org/pdf/2310.16301v1.pdf
https://github.com/lxchtan/chatmpc
true
true
true
none
https://paperswithcode.com/paper/spectra-sparse-structured-text
SPECTRA: Sparse Structured Text Rationalization
2109.04552
https://arxiv.org/abs/2109.04552v1
https://arxiv.org/pdf/2109.04552v1.pdf
https://github.com/deep-spin/spectra-rationalization
true
true
true
pytorch
https://paperswithcode.com/paper/calibration-free-single-frame-super
Calibration-free single-frame super-resolution fluorescence microscopy
2505.13293
https://arxiv.org/abs/2505.13293v1
https://arxiv.org/pdf/2505.13293v1.pdf
https://github.com/robstarek/cfcnn
true
true
true
tf
https://paperswithcode.com/paper/detecting-gravitational-waves-in-data-with
Detecting Gravitational Waves in Data with Non-Gaussian Noise
1908.05644
http://arxiv.org/abs/1908.05644v1
http://arxiv.org/pdf/1908.05644v1.pdf
https://github.com/jroulet/cogwheel
false
false
true
none
https://paperswithcode.com/paper/pooling-architecture-search-for-graph
Pooling Architecture Search for Graph Classification
2108.10587
https://arxiv.org/abs/2108.10587v1
https://arxiv.org/pdf/2108.10587v1.pdf
https://github.com/lars-research/pas-ogb
false
false
true
pytorch
https://paperswithcode.com/paper/sensing-force-gradients-with-cavity
Sensing force gradients with cavity optomechanics while evading backaction
2405.06589
https://arxiv.org/abs/2405.06589v2
https://arxiv.org/pdf/2405.06589v2.pdf
https://zenodo.org/record/11175476
true
false
false
none
https://paperswithcode.com/paper/tilted-quantile-gradient-updates-for-quantile
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning
2412.13184
https://arxiv.org/abs/2412.13184v1
https://arxiv.org/pdf/2412.13184v1.pdf
https://github.com/CharlieLeeeee/TQPO
true
false
true
pytorch
https://paperswithcode.com/paper/decoupling-speaker-independent-emotions-for
Decoupling Speaker-Independent Emotions for Voice Conversion Via Source-Filter Networks
2110.01164
https://arxiv.org/abs/2110.01164v1
https://arxiv.org/pdf/2110.01164v1.pdf
https://github.com/ZhaojieL/HTE-data
false
false
true
none
https://paperswithcode.com/paper/target-aware-spatio-temporal-reasoning-via
Target-Aware Spatio-Temporal Reasoning via Answering Questions in Dynamics Audio-Visual Scenarios
2305.12397
https://arxiv.org/abs/2305.12397v2
https://arxiv.org/pdf/2305.12397v2.pdf
https://github.com/Bravo5542/TJSTG
true
true
true
pytorch
https://paperswithcode.com/paper/chartx-chartvlm-a-versatile-benchmark-and
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning
2402.12185
https://arxiv.org/abs/2402.12185v4
https://arxiv.org/pdf/2402.12185v4.pdf
https://github.com/unimodal4reasoning/chartvlm
true
true
true
pytorch
https://paperswithcode.com/paper/reformatted-alignment
Reformatted Alignment
2402.12219
https://arxiv.org/abs/2402.12219v2
https://arxiv.org/pdf/2402.12219v2.pdf
https://github.com/gair-nlp/realign
true
true
true
pytorch
https://paperswithcode.com/paper/a-framework-for-fine-grained-synchronization
A Framework for Fine-Grained Synchronization of Dependent GPU Kernels
2305.13450
https://arxiv.org/abs/2305.13450v3
https://arxiv.org/pdf/2305.13450v3.pdf
https://github.com/microsoft/cusync
true
true
true
pytorch
https://paperswithcode.com/paper/toward-certified-robustness-against-real
Toward Certified Robustness Against Real-World Distribution Shifts
2206.03669
https://arxiv.org/abs/2206.03669v3
https://arxiv.org/pdf/2206.03669v3.pdf
https://github.com/wu-haoze/dist-shift-vnn-comp
false
false
true
pytorch
https://paperswithcode.com/paper/bcn-batch-channel-normalization-for-image
BCN: Batch Channel Normalization for Image Classification
2312.00596
https://arxiv.org/abs/2312.00596v1
https://arxiv.org/pdf/2312.00596v1.pdf
https://github.com/AfifaKhaled/Batch-Channel-Normalization
true
false
true
pytorch
https://paperswithcode.com/paper/seamless-multilingual-expressive-and
Seamless: Multilingual Expressive and Streaming Speech Translation
2312.05187
https://arxiv.org/abs/2312.05187v1
https://arxiv.org/pdf/2312.05187v1.pdf
https://github.com/facebookresearch/seamless_communication
true
true
true
pytorch
https://paperswithcode.com/paper/cognitive-visual-commonsense-reasoning-using
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory
2107.01671
https://arxiv.org/abs/2107.01671v4
https://arxiv.org/pdf/2107.01671v4.pdf
https://github.com/tanjatang/DMVCR
true
true
false
pytorch
https://paperswithcode.com/paper/micaugment-one-shot-microphone-style-transfer
MicAugment: One-shot Microphone Style Transfer
2010.09658
https://arxiv.org/abs/2010.09658v1
https://arxiv.org/pdf/2010.09658v1.pdf
https://github.com/MindSpore-scientific/code-11/tree/main/MicAugment
false
false
false
mindspore
https://paperswithcode.com/paper/detect-to-retrieve-efficient-regional
Detect-to-Retrieve: Efficient Regional Aggregation for Image Search
1812.01584
https://arxiv.org/abs/1812.01584v2
https://arxiv.org/pdf/1812.01584v2.pdf
https://github.com/code-implementation1/Code1/tree/main/delf
false
false
false
mindspore
https://paperswithcode.com/paper/filp-3d-enhancing-3d-few-shot-class
FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language Models
2312.17051
https://arxiv.org/abs/2312.17051v2
https://arxiv.org/pdf/2312.17051v2.pdf
https://github.com/hit-leaderone/flip-3d
true
true
true
pytorch
https://paperswithcode.com/paper/kernel-ssl-kernel-kl-divergence-for-self
Matrix Information Theory for Self-Supervised Learning
2305.17326
https://arxiv.org/abs/2305.17326v7
https://arxiv.org/pdf/2305.17326v7.pdf
https://github.com/yifanzhang-pro/matrix-llm
true
true
true
none
https://paperswithcode.com/paper/single-domain-generalization-for-few-shot
Single Domain Generalization for Few-Shot Counting via Universal Representation Matching
2505.16778
https://arxiv.org/abs/2505.16778v1
https://arxiv.org/pdf/2505.16778v1.pdf
https://github.com/jbr97/urm
true
true
false
pytorch
https://paperswithcode.com/paper/thermocapillary-thin-films-periodic-steady
Thermocapillary Thin Films: Periodic Steady States and Film Rupture
2308.11279
https://arxiv.org/abs/2308.11279v2
https://arxiv.org/pdf/2308.11279v2.pdf
https://github.com/bastian-hilder/global-bif-thermocapillary-thin-film-equation
true
true
true
none
https://paperswithcode.com/paper/recovering-realistic-texture-in-image-super
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform
1804.02815
http://arxiv.org/abs/1804.02815v1
http://arxiv.org/pdf/1804.02815v1.pdf
https://github.com/sdauzcm/sr-basicsr
false
false
true
pytorch
https://paperswithcode.com/paper/esrgan-enhanced-super-resolution-generative
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
1809.00219
http://arxiv.org/abs/1809.00219v2
http://arxiv.org/pdf/1809.00219v2.pdf
https://github.com/sdauzcm/sr-basicsr
false
false
true
pytorch
https://paperswithcode.com/paper/photo-realistic-single-image-super-resolution
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
1609.04802
http://arxiv.org/abs/1609.04802v5
http://arxiv.org/pdf/1609.04802v5.pdf
https://github.com/sdauzcm/sr-basicsr
false
false
true
pytorch
https://paperswithcode.com/paper/counting-collisions-in-random-circuit
Counting collisions in random circuit sampling for benchmarking quantum computers
2312.04222
https://arxiv.org/abs/2312.04222v2
https://arxiv.org/pdf/2312.04222v2.pdf
https://github.com/unitaryfund/research
true
true
false
none
https://paperswithcode.com/paper/lyapunov-guided-embedding-for-hyperparameter
Lyapunov-Guided Representation of Recurrent Neural Network Performance
2204.04876
https://arxiv.org/abs/2204.04876v2
https://arxiv.org/pdf/2204.04876v2.pdf
https://github.com/shlizee/lyapunovautoencode
true
true
false
pytorch
https://paperswithcode.com/paper/discretization-drift-in-two-player-games
Discretization Drift in Two-Player Games
2105.13922
https://arxiv.org/abs/2105.13922v2
https://arxiv.org/pdf/2105.13922v2.pdf
https://github.com/deepmind/dd_two_player_games
false
false
true
jax
https://paperswithcode.com/paper/on-a-continuous-time-model-of-gradient
On a continuous time model of gradient descent dynamics and instability in deep learning
2302.01952
https://arxiv.org/abs/2302.01952v3
https://arxiv.org/pdf/2302.01952v3.pdf
https://github.com/deepmind/dd_two_player_games
false
false
true
jax
https://paperswithcode.com/paper/analyzing-and-improving-the-image-quality-of
Analyzing and Improving the Image Quality of StyleGAN
1912.04958
https://arxiv.org/abs/1912.04958v2
https://arxiv.org/pdf/1912.04958v2.pdf
https://github.com/tompaperspaceio/stylegan3
false
false
true
tf
https://paperswithcode.com/paper/meta-task-prompting-elicits-embedding-from
Meta-Task Prompting Elicits Embeddings from Large Language Models
2402.18458
https://arxiv.org/abs/2402.18458v2
https://arxiv.org/pdf/2402.18458v2.pdf
https://github.com/yibin-lei/metaeol
true
true
false
pytorch
https://paperswithcode.com/paper/on-the-design-dependent-suboptimality-of-the
On the design-dependent suboptimality of the Lasso
2402.00382
https://arxiv.org/abs/2402.00382v1
https://arxiv.org/pdf/2402.00382v1.pdf
https://github.com/reesepathak/lowerlassosim
true
true
false
none
https://paperswithcode.com/paper/from-demonstrations-to-rewards-alignment
From Demonstrations to Rewards: Alignment Without Explicit Human Preferences
2503.13538
https://arxiv.org/abs/2503.13538v1
https://arxiv.org/pdf/2503.13538v1.pdf
https://github.com/Hong-Lab-UMN-ECE/IRLAlignment
true
false
false
pytorch
https://paperswithcode.com/paper/jitter-characterization-of-the-hyti-satellite
Jitter Characterization of the HyTI Satellite
2404.15575
https://arxiv.org/abs/2404.15575v1
https://arxiv.org/pdf/2404.15575v1.pdf
https://github.com/chase-urasaki/hyti_jitter_metrology
true
true
false
none
https://paperswithcode.com/paper/jailbroken-how-does-llm-safety-training-fail
Jailbroken: How Does LLM Safety Training Fail?
2307.02483
https://arxiv.org/abs/2307.02483v1
https://arxiv.org/pdf/2307.02483v1.pdf
https://github.com/cassidylaidlaw/hidden-context
false
false
true
pytorch
https://paperswithcode.com/paper/fastpillars-a-deployment-friendly-pillar
FastPillars: A Deployment-friendly Pillar-based 3D Detector
2302.02367
https://arxiv.org/abs/2302.02367v6
https://arxiv.org/pdf/2302.02367v6.pdf
https://github.com/StiphyJay/FastPillars
true
true
true
pytorch
https://paperswithcode.com/paper/distributional-preference-learning
Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF
2312.08358
https://arxiv.org/abs/2312.08358v2
https://arxiv.org/pdf/2312.08358v2.pdf
https://github.com/cassidylaidlaw/hidden-context
true
true
false
pytorch
https://paperswithcode.com/paper/causal-optimal-transport-of-abstractions
Causal Optimal Transport of Abstractions
2312.08107
https://arxiv.org/abs/2312.08107v1
https://arxiv.org/pdf/2312.08107v1.pdf
https://github.com/yfelekis/cota
true
true
false
none
https://paperswithcode.com/paper/pnpnet-pull-and-push-networks-for-volumetric
PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion
2312.08323
https://arxiv.org/abs/2312.08323v1
https://arxiv.org/pdf/2312.08323v1.pdf
https://github.com/alexyouxin/pnpnet
true
true
false
pytorch
https://paperswithcode.com/paper/tanet-robust-3d-object-detection-from-point
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
1912.05163
https://arxiv.org/abs/1912.05163v1
https://arxiv.org/pdf/1912.05163v1.pdf
https://github.com/mjseong0414/TANet
false
false
true
pytorch
https://paperswithcode.com/paper/voicify-your-ui-towards-android-app-control
Voicify Your UI: Towards Android App Control with Voice Commands
2305.05198
https://arxiv.org/abs/2305.05198v1
https://arxiv.org/pdf/2305.05198v1.pdf
https://github.com/dfpp/arap
false
false
true
none
https://paperswithcode.com/paper/promptlink-leveraging-large-language-models
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking
2405.07500
https://arxiv.org/abs/2405.07500v1
https://arxiv.org/pdf/2405.07500v1.pdf
https://github.com/constantjxyz/promptlink
true
true
false
pytorch
https://paperswithcode.com/paper/learning-lagrangian-fluid-mechanics-with-e-3
Learning Lagrangian Fluid Mechanics with E($3$)-Equivariant Graph Neural Networks
2305.15603
https://arxiv.org/abs/2305.15603v1
https://arxiv.org/pdf/2305.15603v1.pdf
https://github.com/tumaer/lagrangebench
false
false
true
jax
https://paperswithcode.com/paper/act-as-you-learn-adaptive-decision-making-in
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
2401.01841
https://arxiv.org/abs/2401.01841v3
https://arxiv.org/pdf/2401.01841v3.pdf
https://github.com/scope-lab-vu/ada-mcts
true
true
false
none
https://paperswithcode.com/paper/importance-prioritized-policy-distillation
Importance Prioritized Policy Distillation
null
https://dl.acm.org/doi/abs/10.1145/3534678.3539266
https://drive.google.com/file/d/18K7tjgA0K3gX_d-fgmVymPMq-3zf4hvB/view?usp=sharing
https://github.com/xinghua-qu/Importance-Prioritized-Policy-Distillation
false
false
false
tf
https://paperswithcode.com/paper/enhancing-long-term-recommendation-with-bi
Large Language Models are Learnable Planners for Long-Term Recommendation
2403.00843
https://arxiv.org/abs/2403.00843v2
https://arxiv.org/pdf/2403.00843v2.pdf
https://github.com/jizhi-zhang/billp
true
true
false
none
https://paperswithcode.com/paper/one-shot-learning-as-instruction-data
One-Shot Learning as Instruction Data Prospector for Large Language Models
2312.10302
https://arxiv.org/abs/2312.10302v4
https://arxiv.org/pdf/2312.10302v4.pdf
https://github.com/pldlgb/nuggets
true
true
true
pytorch
https://paperswithcode.com/paper/attention-is-all-you-need
Attention Is All You Need
1706.03762
https://arxiv.org/abs/1706.03762v7
https://arxiv.org/pdf/1706.03762v7.pdf
https://github.com/moon23k/Transformer_Anchors
false
false
true
pytorch
https://paperswithcode.com/paper/domain-generalization-with-correlated-style
Domain Generalization with Correlated Style Uncertainty
2212.09950
https://arxiv.org/abs/2212.09950v3
https://arxiv.org/pdf/2212.09950v3.pdf
https://github.com/freshman97/csu
true
true
true
pytorch
https://paperswithcode.com/paper/progressive-semantic-guided-vision
Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning
2404.07713
https://arxiv.org/abs/2404.07713v2
https://arxiv.org/pdf/2404.07713v2.pdf
https://github.com/shiming-chen/zslvit
true
true
false
pytorch
https://paperswithcode.com/paper/consistent-diffusion-meets-tweedie-training
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
2404.10177
https://arxiv.org/abs/2404.10177v2
https://arxiv.org/pdf/2404.10177v2.pdf
https://github.com/giannisdaras/ambient-tweedie
true
true
false
pytorch
https://paperswithcode.com/paper/leveraging-memory-effects-and-gradient
Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law
2211.12184
https://arxiv.org/abs/2211.12184v2
https://arxiv.org/pdf/2211.12184v2.pdf
https://github.com/igor-tukh/cbo-in-python
false
false
true
pytorch
https://paperswithcode.com/paper/a-primer-on-topological-data-analysis-to
A Primer on Topological Data Analysis to Support Image Analysis Tasks in Environmental Science
2207.10552
https://arxiv.org/abs/2207.10552v1
https://arxiv.org/pdf/2207.10552v1.pdf
https://github.com/zyjux/sffg_tda
true
true
true
none
https://paperswithcode.com/paper/black-hole-formation-from-a-general-quadratic
Black hole formation from a general quadratic action for inflationary primordial fluctuations
1811.03065
http://arxiv.org/abs/1811.03065v2
http://arxiv.org/pdf/1811.03065v2.pdf
https://github.com/oozsoy/singlefieldinf_powerspec_pbh
false
false
true
none
https://paperswithcode.com/paper/distance-based-mutual-congestion-feature
Distance-based mutual congestion feature selection with genetic algorithm for high-dimensional medical datasets
2407.15611
https://arxiv.org/abs/2407.15611v1
https://arxiv.org/pdf/2407.15611v1.pdf
https://github.com/hnematzadeh/dmc-gawar
true
true
false
none
https://paperswithcode.com/paper/coleclip-open-domain-continual-learning-via
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning
2403.10245
https://arxiv.org/abs/2403.10245v1
https://arxiv.org/pdf/2403.10245v1.pdf
https://github.com/YukunLi99/CoLeCLIP
true
false
true
pytorch
https://paperswithcode.com/paper/desobav2-towards-large-scale-real-world
DESOBAv2: Towards Large-scale Real-world Dataset for Shadow Generation
2308.09972
https://arxiv.org/abs/2308.09972v1
https://arxiv.org/pdf/2308.09972v1.pdf
https://github.com/bcmi/object-shadow-generation-dataset-desobav2
true
true
true
pytorch
https://paperswithcode.com/paper/compiler-for-distributed-quantum-computing-a
Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach
2404.17077
https://arxiv.org/abs/2404.17077v1
https://arxiv.org/pdf/2404.17077v1.pdf
https://github.com/ppromponas/compilerdqc
true
true
false
pytorch
https://paperswithcode.com/paper/intelligent-artistic-typography-a
Intelligent Artistic Typography: A Comprehensive Review of Artistic Text Design and Generation
2407.14774
https://arxiv.org/abs/2407.14774v1
https://arxiv.org/pdf/2407.14774v1.pdf
https://github.com/williamyang1991/awesome-artistic-typography
true
true
true
none
https://paperswithcode.com/paper/evaluating-self-supervised-learning-via-risk
Evaluating Self-Supervised Learning via Risk Decomposition
2302.03068
https://arxiv.org/abs/2302.03068v3
https://arxiv.org/pdf/2302.03068v3.pdf
https://github.com/yanndubs/ssl-risk-decomposition
true
true
true
pytorch
https://paperswithcode.com/paper/agentscope-a-flexible-yet-robust-multi-agent
AgentScope: A Flexible yet Robust Multi-Agent Platform
2402.14034
https://arxiv.org/abs/2402.14034v2
https://arxiv.org/pdf/2402.14034v2.pdf
https://github.com/modelscope/agentscope
true
true
true
none
https://paperswithcode.com/paper/randomized-sparse-neural-galerkin-schemes-for-1
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks
2310.04867
https://arxiv.org/abs/2310.04867v1
https://arxiv.org/pdf/2310.04867v1.pdf
https://github.com/julesberman/colora
false
false
true
jax
https://paperswithcode.com/paper/nonlinear-embeddings-for-conserving
Nonlinear embeddings for conserving Hamiltonians and other quantities with Neural Galerkin schemes
2310.07485
https://arxiv.org/abs/2310.07485v1
https://arxiv.org/pdf/2310.07485v1.pdf
https://github.com/julesberman/colora
false
false
true
jax
https://paperswithcode.com/paper/token-level-correlation-guided-compression
Token-level Correlation-guided Compression for Efficient Multimodal Document Understanding
2407.14439
https://arxiv.org/abs/2407.14439v1
https://arxiv.org/pdf/2407.14439v1.pdf
https://github.com/JiuTian-VL/TokenCorrCompressor
true
false
true
none