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https://paperswithcode.com/paper/sequence-learning-using-equilibrium
Sequence Learning Using Equilibrium Propagation
2209.09626
https://arxiv.org/abs/2209.09626v4
https://arxiv.org/pdf/2209.09626v4.pdf
https://github.com/neurocomplab-psu/eqprop-seqlearning
true
true
false
pytorch
https://paperswithcode.com/paper/syntax-driven-approach-for-semantic-role
Syntax-driven Approach for Semantic Role Labeling
null
https://aclanthology.org/2022.lrec-1.772
https://aclanthology.org/2022.lrec-1.772.pdf
https://github.com/synlp/srl-mm
true
true
false
pytorch
https://paperswithcode.com/paper/a-japanese-dataset-for-subjective-and
A Japanese Dataset for Subjective and Objective Sentiment Polarity Classification in Micro Blog Domain
null
https://aclanthology.org/2022.lrec-1.759
https://aclanthology.org/2022.lrec-1.759.pdf
https://github.com/ids-cv/wrime
true
true
false
none
https://paperswithcode.com/paper/dynamic-convolution-attention-over
Dynamic Convolution: Attention over Convolution Kernels
1912.03458
https://arxiv.org/abs/1912.03458v2
https://arxiv.org/pdf/1912.03458v2.pdf
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/conv/DynamicConv.py
false
false
false
mindspore
https://paperswithcode.com/paper/accurate-explanation-model-for-image
Accurate Explanation Model for Image Classifiers using Class Association Embedding
2406.07961
https://arxiv.org/abs/2406.07961v3
https://arxiv.org/pdf/2406.07961v3.pdf
https://github.com/xrt11/xai-code
true
true
true
pytorch
https://paperswithcode.com/paper/multimodality-for-nlp-centered-applications
Multimodality for NLP-Centered Applications: Resources, Advances and Frontiers
null
https://aclanthology.org/2022.lrec-1.738
https://aclanthology.org/2022.lrec-1.738.pdf
https://github.com/drmuskangarg/multimodal-datasets
true
true
false
none
https://paperswithcode.com/paper/bat-lz-out-of-hell
BAT-LZ Out of Hell
2403.09893
https://arxiv.org/abs/2403.09893v2
https://arxiv.org/pdf/2403.09893v2.pdf
https://github.com/fmasillo/bat-lz
true
true
true
none
https://paperswithcode.com/paper/explainable-reinforcement-learning-via-model
Explainable Reinforcement Learning via Model Transforms
2209.12006
https://arxiv.org/abs/2209.12006v2
https://arxiv.org/pdf/2209.12006v2.pdf
https://github.com/sarah-keren/rlpe
true
true
true
none
https://paperswithcode.com/paper/a-free-open-source-morphological-analyser-and
A Free/Open-Source Morphological Analyser and Generator for Sakha
null
https://aclanthology.org/2022.lrec-1.550
https://aclanthology.org/2022.lrec-1.550.pdf
https://github.com/apertium/apertium-sah
true
true
false
none
https://paperswithcode.com/paper/hyperreel-high-fidelity-6-dof-video-with-ray
HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling
2301.02238
https://arxiv.org/abs/2301.02238v2
https://arxiv.org/pdf/2301.02238v2.pdf
https://github.com/facebookresearch/hyperreel
true
false
true
pytorch
https://paperswithcode.com/paper/basicvsr-the-search-for-essential-components
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
2012.02181
https://arxiv.org/abs/2012.02181v2
https://arxiv.org/pdf/2012.02181v2.pdf
https://github.com/XPixelGroup/BasicSR
false
false
true
pytorch
https://paperswithcode.com/paper/evaluating-explainability-for-graph-neural
Evaluating Explainability for Graph Neural Networks
2208.09339
https://arxiv.org/abs/2208.09339v2
https://arxiv.org/pdf/2208.09339v2.pdf
https://github.com/mims-harvard/graphxai
true
true
false
pytorch
https://paperswithcode.com/paper/reproducibility-report-contrastive-learning
Reproducibility Report: Contrastive Learning of Socially-aware Motion Representations
2208.09284
https://arxiv.org/abs/2208.09284v1
https://arxiv.org/pdf/2208.09284v1.pdf
https://github.com/vita-epfl/social-nce
true
true
false
pytorch
https://paperswithcode.com/paper/amr-similarity-metrics-from-principles
AMR Similarity Metrics from Principles
2001.10929
https://arxiv.org/abs/2001.10929v2
https://arxiv.org/pdf/2001.10929v2.pdf
https://github.com/flipz357/amr-metric-suite
false
false
true
none
https://paperswithcode.com/paper/dcsf-deep-convolutional-set-functions-for
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series
2208.11374
https://arxiv.org/abs/2208.11374v1
https://arxiv.org/pdf/2208.11374v1.pdf
https://github.com/yalavarthivk/dcsf
true
true
false
tf
https://paperswithcode.com/paper/entropy-solutions-of-non-local-scalar
Entropy solutions of non-local scalar conservation laws with congestion via deterministic particle method
2107.10760
https://arxiv.org/abs/2107.10760v2
https://arxiv.org/pdf/2107.10760v2.pdf
https://github.com/FedericoStra/cons-laws
true
false
true
none
https://paperswithcode.com/paper/semi-supervised-conditional-gan-for
Semi-supervised Conditional GAN for Simultaneous Generation and Detection of Phishing URLs: A Game theoretic Perspective
2108.01852
https://arxiv.org/abs/2108.01852v3
https://arxiv.org/pdf/2108.01852v3.pdf
https://github.com/SharifAmit/Semi-supervised-Phishing-Detection-GAN
true
true
true
tf
https://paperswithcode.com/paper/decoding-demographic-un-fairness-from-indian
Decoding Demographic un-fairness from Indian Names
2209.03089
https://arxiv.org/abs/2209.03089v1
https://arxiv.org/pdf/2209.03089v1.pdf
https://github.com/vahini01/indiandemographics
true
true
false
none
https://paperswithcode.com/paper/social-media-engagement-and-cryptocurrency
Social Media Engagement and Cryptocurrency Performance
2209.02911
https://arxiv.org/abs/2209.02911v1
https://arxiv.org/pdf/2209.02911v1.pdf
https://github.com/kai-trading-bot/crypto_engagement
true
true
false
none
https://paperswithcode.com/paper/3d-bounding-box-estimation-using-deep
3D Bounding Box Estimation Using Deep Learning and Geometry
1612.00496
http://arxiv.org/abs/1612.00496v2
http://arxiv.org/pdf/1612.00496v2.pdf
https://github.com/ruhyadi/YOLO3D
false
false
true
pytorch
https://paperswithcode.com/paper/constrained-update-projection-approach-to
Constrained Update Projection Approach to Safe Policy Optimization
2209.07089
https://arxiv.org/abs/2209.07089v2
https://arxiv.org/pdf/2209.07089v2.pdf
https://github.com/zmsn-2077/cup-safe-rl
true
true
false
pytorch
https://paperswithcode.com/paper/nsnet-a-general-neural-probabilistic
NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
2211.03880
https://arxiv.org/abs/2211.03880v1
https://arxiv.org/pdf/2211.03880v1.pdf
https://github.com/zhaoyu-li/nsnet
true
true
true
pytorch
https://paperswithcode.com/paper/a-japanese-masked-language-model-for-academic
A Japanese Masked Language Model for Academic Domain
null
https://aclanthology.org/2022.sdp-1.16
https://aclanthology.org/2022.sdp-1.16.pdf
https://github.com/hirokiyamauch/academicroberta
true
true
false
none
https://paperswithcode.com/paper/transfer-learning-in-ecg-diagnosis-is-it
Transfer Learning in ECG Diagnosis: Is It Effective?
2402.02021
https://arxiv.org/abs/2402.02021v2
https://arxiv.org/pdf/2402.02021v2.pdf
https://github.com/cuongvng/transfer-learning-ecg-diagnosis
true
true
false
pytorch
https://paperswithcode.com/paper/conformal-inference-for-cell-type-annotation
Conformal inference for cell type annotation with graph-structured constraints
2410.23786
https://arxiv.org/abs/2410.23786v1
https://arxiv.org/pdf/2410.23786v1.pdf
https://github.com/ccb-hms/scconform
true
true
false
none
https://paperswithcode.com/paper/the-surprising-effectiveness-of-mappo-in
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games
2103.01955
https://arxiv.org/abs/2103.01955v4
https://arxiv.org/pdf/2103.01955v4.pdf
https://github.com/tjuhaoxiaotian/pymarl3
false
false
true
pytorch
https://paperswithcode.com/paper/a-practical-guide-and-software-for-analysing
A practical guide and software for analysing pairwise comparison experiments
1712.03686
http://arxiv.org/abs/1712.03686v2
http://arxiv.org/pdf/1712.03686v2.pdf
https://github.com/mantiuk/pwcmp
true
true
true
none
https://paperswithcode.com/paper/lapred-lane-aware-prediction-of-multi-modal
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
2104.00249
https://arxiv.org/abs/2104.00249v1
https://arxiv.org/pdf/2104.00249v1.pdf
https://github.com/bdokim/LaPred
true
false
true
pytorch
https://paperswithcode.com/paper/generating-artificial-light-curves-revisited
Generating artificial light curves: Revisited and updated
1305.0304
https://arxiv.org/abs/1305.0304v1
https://arxiv.org/pdf/1305.0304v1.pdf
https://github.com/lena-lin/emmanoulopoulos
false
false
true
none
https://paperswithcode.com/paper/an-automated-process-for-2d-and-3d-finite
Automated 2D and 3D Finite Element Overclosure Adjustment and Mesh Morphing Using Generalized Regression Neural Networks
2209.06948
https://arxiv.org/abs/2209.06948v3
https://arxiv.org/pdf/2209.06948v3.pdf
https://github.com/thor-andreassen/femors
true
true
false
none
https://paperswithcode.com/paper/investigating-semantic-subspaces-of
Investigating semantic subspaces of Transformer sentence embeddings through linear structural probing
2310.11923
https://arxiv.org/abs/2310.11923v1
https://arxiv.org/pdf/2310.11923v1.pdf
https://github.com/macleginn/semantic-subspaces-code
true
true
false
pytorch
https://paperswithcode.com/paper/introduction-to-astroml-machine-learning-for
Introduction to astroML: Machine Learning for Astrophysics
1411.5039
http://arxiv.org/abs/1411.5039v1
http://arxiv.org/pdf/1411.5039v1.pdf
https://github.com/LBJ-Wade/astroML
false
false
true
none
https://paperswithcode.com/paper/an-adaptive-kernel-estimator-for-the
An adaptive kernel estimator for the intensity function of spatio-temporal point processes
2208.12026
https://arxiv.org/abs/2208.12026v1
https://arxiv.org/pdf/2208.12026v1.pdf
https://github.com/jagm03/kernstadapt
true
true
true
none
https://paperswithcode.com/paper/bayesian-quadrature-for-probability-threshold
An Active Learning Reliability Method for Systems with Partially Defined Performance Functions
2210.02168
https://arxiv.org/abs/2210.02168v2
https://arxiv.org/pdf/2210.02168v2.pdf
https://github.com/fiveai/hgp_experiments
true
true
true
none
https://paperswithcode.com/paper/investigating-the-effect-of-circuit-cutting
Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices
2302.01792
https://arxiv.org/abs/2302.01792v2
https://arxiv.org/pdf/2302.01792v2.pdf
https://github.com/anonym-scientist/cut-qaoa-paper
true
true
false
none
https://paperswithcode.com/paper/3d-vsg-long-term-semantic-scene-change
3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs
2209.07896
https://arxiv.org/abs/2209.07896v2
https://arxiv.org/pdf/2209.07896v2.pdf
https://github.com/ethz-asl/3d_vsg
true
true
true
pytorch
https://paperswithcode.com/paper/estimation-of-optical-aberrations-in-3d
Estimation of Optical Aberrations in 3D Microscopic Bioimages
2209.07911
https://arxiv.org/abs/2209.07911v1
https://arxiv.org/pdf/2209.07911v1.pdf
https://github.com/kiraving/aberration
true
true
false
none
https://paperswithcode.com/paper/deep-learning-for-brain-metastasis-detection
Deep learning for brain metastasis detection and segmentation in longitudinal MRI data
2112.11833
https://arxiv.org/abs/2112.11833v5
https://arxiv.org/pdf/2112.11833v5.pdf
https://github.com/yixinghuang/deepmedicplus
true
true
false
tf
https://paperswithcode.com/paper/high-resolution-image-synthesis-with-latent
High-Resolution Image Synthesis with Latent Diffusion Models
2112.10752
https://arxiv.org/abs/2112.10752v2
https://arxiv.org/pdf/2112.10752v2.pdf
https://github.com/compvis/stable-diffusion
false
false
true
pytorch
https://paperswithcode.com/paper/deep-attractor-network-for-single-microphone
Deep attractor network for single-microphone speaker separation
1611.08930
http://arxiv.org/abs/1611.08930v2
http://arxiv.org/pdf/1611.08930v2.pdf
https://github.com/KMASAHIRO/DANet
false
false
true
tf
https://paperswithcode.com/paper/serialized-interacting-mixed-membership
Serialized Interacting Mixed Membership Stochastic Block Model
2209.07813
https://arxiv.org/abs/2209.07813v1
https://arxiv.org/pdf/2209.07813v1.pdf
https://github.com/gaelpouxmedard/simsbm
true
true
false
none
https://paperswithcode.com/paper/comparison-of-high-dimensional-bayesian
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
2303.00890
https://arxiv.org/abs/2303.00890v3
https://arxiv.org/pdf/2303.00890v3.pdf
https://github.com/marialaurasantoni/ioh-profiler-hdbo-comparison
true
true
false
jax
https://paperswithcode.com/paper/robust-vocal-quality-feature-embeddings-for
Robust Vocal Quality Feature Embeddings for Dysphonic Voice Detection
2211.09858
https://arxiv.org/abs/2211.09858v2
https://arxiv.org/pdf/2211.09858v2.pdf
https://github.com/vigor-jzhang/dysphonic-emb
true
true
false
pytorch
https://paperswithcode.com/paper/d-d-learning-human-dynamics-from-dynamic
D&D: Learning Human Dynamics from Dynamic Camera
2209.08790
https://arxiv.org/abs/2209.08790v1
https://arxiv.org/pdf/2209.08790v1.pdf
https://github.com/jeff-sjtu/dnd
true
true
true
pytorch
https://paperswithcode.com/paper/hybrik-a-hybrid-analytical-neural-inverse
HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation
2011.14672
https://arxiv.org/abs/2011.14672v4
https://arxiv.org/pdf/2011.14672v4.pdf
https://github.com/jeff-sjtu/dnd
false
false
true
pytorch
https://paperswithcode.com/paper/cerberus-low-drift-visual-inertial-leg
Cerberus: Low-Drift Visual-Inertial-Leg Odometry For Agile Locomotion
2209.07654
https://arxiv.org/abs/2209.07654v1
https://arxiv.org/pdf/2209.07654v1.pdf
https://github.com/shuoyangrobotics/cerberus
true
true
true
none
https://paperswithcode.com/paper/monacobert-monotonic-attention-based-convbert
MonaCoBERT: Monotonic attention based ConvBERT for Knowledge Tracing
2208.12615
https://arxiv.org/abs/2208.12615v2
https://arxiv.org/pdf/2208.12615v2.pdf
https://github.com/codingchild2424/MonaCoBERT
true
true
true
pytorch
https://paperswithcode.com/paper/rucola-russian-corpus-of-linguistic
RuCoLA: Russian Corpus of Linguistic Acceptability
2210.12814
https://arxiv.org/abs/2210.12814v1
https://arxiv.org/pdf/2210.12814v1.pdf
https://github.com/russiannlp/rucola
true
true
true
pytorch
https://paperswithcode.com/paper/apollo-an-adaptive-parameter-wise-diagonal
Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization
2009.13586
https://arxiv.org/abs/2009.13586v6
https://arxiv.org/pdf/2009.13586v6.pdf
https://github.com/XuezheMax/fairseq-apollo
false
false
true
pytorch
https://paperswithcode.com/paper/panoramic-panoptic-segmentation-towards
Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning
2103.00868
https://arxiv.org/abs/2103.00868v2
https://arxiv.org/pdf/2103.00868v2.pdf
https://github.com/alexanderjaus/PPS
true
true
true
pytorch
https://paperswithcode.com/paper/phabox-a-web-server-for-identifying-and
PhaBOX: A web server for identifying and characterizing phage contigs in metagenomic data
2303.15707
https://arxiv.org/abs/2303.15707v3
https://arxiv.org/pdf/2303.15707v3.pdf
https://github.com/kennthshang/phabox
true
true
false
pytorch
https://paperswithcode.com/paper/thinking-hallucination-for-video-captioning
Thinking Hallucination for Video Captioning
2209.13853
https://arxiv.org/abs/2209.13853v1
https://arxiv.org/pdf/2209.13853v1.pdf
https://github.com/nasib-ullah/THVC
true
false
false
pytorch
https://paperswithcode.com/paper/pushing-the-limits-of-the-wiener-filter-in
Pushing The Limits of the Wiener Filter in Image Denoising
2303.16640
https://arxiv.org/abs/2303.16640v1
https://arxiv.org/pdf/2303.16640v1.pdf
https://github.com/mrbled/icicp_2023_wiener
true
true
false
none
https://paperswithcode.com/paper/forward-mode-automatic-differentiation-in
Forward-Mode Automatic Differentiation in Julia
1607.07892
http://arxiv.org/abs/1607.07892v1
http://arxiv.org/pdf/1607.07892v1.pdf
https://github.com/jesse-sharp/sharp2021b
false
false
true
none
https://paperswithcode.com/paper/generating-astronomical-spectra-from
Generating astronomical spectra from photometry with conditional diffusion models
2211.05556
https://arxiv.org/abs/2211.05556v1
https://arxiv.org/pdf/2211.05556v1.pdf
https://github.com/larsdoorenbos/generate-spectra
true
true
true
pytorch
https://paperswithcode.com/paper/cetn-contrast-enhanced-through-network-for
CETN: Contrast-enhanced Through Network for CTR Prediction
2312.09715
https://arxiv.org/abs/2312.09715v2
https://arxiv.org/pdf/2312.09715v2.pdf
https://github.com/salmon1802/cetn
true
true
false
pytorch
https://paperswithcode.com/paper/ditto-quantization-aware-secure-inference-of
Ditto: Quantization-aware Secure Inference of Transformers upon MPC
2405.05525
https://arxiv.org/abs/2405.05525v1
https://arxiv.org/pdf/2405.05525v1.pdf
https://github.com/secretflow/spu
true
true
false
tf
https://paperswithcode.com/paper/a-concise-but-effective-network-for-image
A Concise but High-performing Network for Image Guided Depth Completion in Autonomous Driving
2401.15902
https://arxiv.org/abs/2401.15902v2
https://arxiv.org/pdf/2401.15902v2.pdf
https://github.com/lmomoy/chnet
true
true
false
pytorch
https://paperswithcode.com/paper/cairl-a-high-performance-reinforcement
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit
2210.01235
https://arxiv.org/abs/2210.01235v1
https://arxiv.org/pdf/2210.01235v1.pdf
https://github.com/cair/rl
true
true
false
none
https://paperswithcode.com/paper/gantouch-an-attack-resilient-framework-for
GANTouch: An Attack-Resilient Framework for Touch-based Continuous Authentication System
2210.01594
https://arxiv.org/abs/2210.01594v1
https://arxiv.org/pdf/2210.01594v1.pdf
https://github.com/midas-research/gantouch-tbiom
true
true
false
pytorch
https://paperswithcode.com/paper/hyperbolic-geometry-in-computer-vision-a
Fully Hyperbolic Convolutional Neural Networks for Computer Vision
2303.15919
https://arxiv.org/abs/2303.15919v3
https://arxiv.org/pdf/2303.15919v3.pdf
https://github.com/kschwethelm/hyperboliccv
true
true
true
pytorch
https://paperswithcode.com/paper/join-operation-for-the-bruhat-order-and-verma
Join operation for the Bruhat order and Verma modules
2109.01067
https://arxiv.org/abs/2109.01067v1
https://arxiv.org/pdf/2109.01067v1.pdf
https://github.com/rafael-mrden/BGG-Category-O-and-related-combinatorics
false
false
true
none
https://paperswithcode.com/paper/roaring-bitmaps-implementation-of-an
Roaring Bitmaps: Implementation of an Optimized Software Library
1709.07821
https://arxiv.org/abs/1709.07821v6
https://arxiv.org/pdf/1709.07821v6.pdf
https://github.com/RoaringBitmap/roaring
false
false
true
none
https://paperswithcode.com/paper/some-homological-properties-of-category
Some homological properties of category $\mathcal{O}$, V
2007.00342
http://arxiv.org/abs/2007.00342v3
http://arxiv.org/pdf/2007.00342v3.pdf
https://github.com/rafael-mrden/BGG-Category-O-and-related-combinatorics
false
false
true
none
https://paperswithcode.com/paper/entropy-based-active-learning-of-graph-neural
Entropy-based Active Learning of Graph Neural Network Surrogate Models for Materials Properties
2108.02077
https://arxiv.org/abs/2108.02077v2
https://arxiv.org/pdf/2108.02077v2.pdf
https://github.com/keeeto/gp-net
true
false
false
none
https://paperswithcode.com/paper/towards-interactive-and-learnable-cooperative
Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making Framework
2409.12812
https://arxiv.org/abs/2409.12812v2
https://arxiv.org/pdf/2409.12812v2.pdf
https://github.com/fangshiyuu/codrivingllm
true
true
true
none
https://paperswithcode.com/paper/benchmarking-graphormer-on-large-scale
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets
2203.04810
https://arxiv.org/abs/2203.04810v2
https://arxiv.org/pdf/2203.04810v2.pdf
https://github.com/lsj2408/Transformer-M
false
false
true
pytorch
https://paperswithcode.com/paper/efficient-scale-invariant-generator-with
Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis
2303.14157
https://arxiv.org/abs/2303.14157v3
https://arxiv.org/pdf/2303.14157v3.pdf
https://github.com/vinairesearch/creps
true
true
true
pytorch
https://paperswithcode.com/paper/core-to-core-x-ray-emission-spectra-from
Core-to-Core X-ray Emission Spectra from Wannier Based Multiplet Ligand Field Theory
2304.14582
https://arxiv.org/abs/2304.14582v1
https://arxiv.org/pdf/2304.14582v1.pdf
https://github.com/seidler-lab/crcl2kaxes_example
true
true
false
none
https://paperswithcode.com/paper/cascaded-debiasing-studying-the-cumulative
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions
2202.03734
https://arxiv.org/abs/2202.03734v2
https://arxiv.org/pdf/2202.03734v2.pdf
https://github.com/bhavyaghai/cascaded-debiasing
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true
true
none
https://paperswithcode.com/paper/incorporating-texture-information-into
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional Images
2202.09179
https://arxiv.org/abs/2202.09179v2
https://arxiv.org/pdf/2202.09179v2.pdf
https://github.com/biovault/spidr
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true
true
none
https://paperswithcode.com/paper/fcc-ee-polarimeter
FCC-ee polarimeter
1803.09595
https://arxiv.org/abs/1803.09595v1
https://arxiv.org/pdf/1803.09595v1.pdf
https://github.com/muchnoi/FCCee-Polarimeter
false
false
true
none
https://paperswithcode.com/paper/bi-directional-weakly-supervised-knowledge
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
2210.03664
https://arxiv.org/abs/2210.03664v2
https://arxiv.org/pdf/2210.03664v2.pdf
https://github.com/miccaiif/weno
true
true
true
pytorch
https://paperswithcode.com/paper/a-joint-modeling-approach-to-study-the
A joint modeling approach to study the association between subject-level longitudinal marker variabilities and repeated outcomes
2309.08000
https://arxiv.org/abs/2309.08000v1
https://arxiv.org/pdf/2309.08000v1.pdf
https://github.com/realirena/jelo
true
true
false
none
https://paperswithcode.com/paper/longtonotes-ontonotes-with-longer-coreference
Longtonotes: OntoNotes with Longer Coreference Chains
2210.03650
https://arxiv.org/abs/2210.03650v1
https://arxiv.org/pdf/2210.03650v1.pdf
https://github.com/kumar-shridhar/longtonotes
true
true
true
none
https://paperswithcode.com/paper/hate-speech-and-offensive-language-detection-1
Hate Speech and Offensive Language Detection in Bengali
2210.03479
https://arxiv.org/abs/2210.03479v1
https://arxiv.org/pdf/2210.03479v1.pdf
https://github.com/hate-alert/bengali_hate
true
true
true
none
https://paperswithcode.com/paper/a-resnet-is-all-you-need-modeling-a-strong
A ResNet is All You Need? Modeling A Strong Baseline for Detecting Referable Diabetic Retinopathy in Fundus Images
2210.03180
https://arxiv.org/abs/2210.03180v1
https://arxiv.org/pdf/2210.03180v1.pdf
https://github.com/tomascast/sipaim-2022-resnet
true
true
false
none
https://paperswithcode.com/paper/self-supervised-visual-representation-2
Self-Supervised Visual Representation Learning with Semantic Grouping
2205.15288
https://arxiv.org/abs/2205.15288v2
https://arxiv.org/pdf/2205.15288v2.pdf
https://github.com/CVMI-Lab/SlotCon
true
true
true
pytorch
https://paperswithcode.com/paper/integrating-random-effects-in-deep-neural
Integrating Random Effects in Deep Neural Networks
2206.03314
https://arxiv.org/abs/2206.03314v3
https://arxiv.org/pdf/2206.03314v3.pdf
https://github.com/gsimchoni/lmmnn
true
true
true
none
https://paperswithcode.com/paper/metadrive-composing-diverse-driving-scenarios
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
2109.12674
https://arxiv.org/abs/2109.12674v3
https://arxiv.org/pdf/2109.12674v3.pdf
https://github.com/metadriverse/metadrive
true
true
true
none
https://paperswithcode.com/paper/one-shot-federated-learning-without-server
One-shot Federated Learning without Server-side Training
2204.12493
https://arxiv.org/abs/2204.12493v2
https://arxiv.org/pdf/2204.12493v2.pdf
https://github.com/fudanvi/maecho
true
true
false
pytorch
https://paperswithcode.com/paper/classical-simulators-as-quantum-error
Classical simulators as quantum error mitigators via circuit cutting
2212.07335
https://arxiv.org/abs/2212.07335v1
https://arxiv.org/pdf/2212.07335v1.pdf
https://github.com/revilooliver/cut4mitigation
true
true
false
none
https://paperswithcode.com/paper/online-incremental-non-gaussian-inference-for
Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows
2110.00876
https://arxiv.org/abs/2110.00876v2
https://arxiv.org/pdf/2110.00876v2.pdf
https://github.com/marineroboticsgroup/nf-isam
true
true
true
none
https://paperswithcode.com/paper/feta-a-benchmark-for-few-sample-task-transfer
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue
2205.06262
https://arxiv.org/abs/2205.06262v2
https://arxiv.org/pdf/2205.06262v2.pdf
https://github.com/alon-albalak/tlidb
true
true
true
pytorch
https://paperswithcode.com/paper/detection-of-dementia-through-3d
Detection of Dementia Through 3D Convolutional Neural Networks Based on Amyloid PET
null
https://ieeexplore.ieee.org/document/9660102
https://espositoandrea.github.io/assets/papers/Castellano2021Detection.pdf
https://github.com/espositoandrea/Detecting-Alzheimer-Using-Amiloyd-PET-Scans
false
false
false
none
https://paperswithcode.com/paper/skateformer-skeletal-temporal-transformer-for
SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition
2403.09508
https://arxiv.org/abs/2403.09508v3
https://arxiv.org/pdf/2403.09508v3.pdf
https://github.com/KAIST-VICLab/SkateFormer
true
false
true
pytorch
https://paperswithcode.com/paper/towards-few-shot-entity-recognition-in-1
Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework
2204.05819
https://arxiv.org/abs/2204.05819v1
https://arxiv.org/pdf/2204.05819v1.pdf
https://github.com/zlwang-cs/laser-release
true
true
true
pytorch
https://paperswithcode.com/paper/panoramic-direct-lidar-assisted-visual
Panoramic Direct LiDAR-assisted Visual Odometry
2409.09287
https://arxiv.org/abs/2409.09287v1
https://arxiv.org/pdf/2409.09287v1.pdf
https://github.com/ZikangYuan/panoramic_lidar_dso
true
false
true
none
https://paperswithcode.com/paper/codonmt-modeling-cohesion-devices-for
CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine Translation
null
https://aclanthology.org/2022.coling-1.462
https://aclanthology.org/2022.coling-1.462.pdf
https://github.com/codeboy311/codonmt
true
true
false
pytorch
https://paperswithcode.com/paper/robustness-certification-of-visual-perception
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
2210.04625
https://arxiv.org/abs/2210.04625v2
https://arxiv.org/pdf/2210.04625v2.pdf
https://github.com/hanjianghu/camera-motion-smoothing
true
true
true
pytorch
https://paperswithcode.com/paper/subeventwriter-iterative-sub-event-sequence
SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller
2210.06694
https://arxiv.org/abs/2210.06694v3
https://arxiv.org/pdf/2210.06694v3.pdf
https://github.com/hkust-knowcomp/subeventwriter
true
true
true
pytorch
https://paperswithcode.com/paper/kerple-kernelized-relative-positional
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation
2205.09921
https://arxiv.org/abs/2205.09921v2
https://arxiv.org/pdf/2205.09921v2.pdf
https://github.com/chijames/kerple
true
true
true
pytorch
https://paperswithcode.com/paper/towards-efficient-3d-object-detection-with
Towards Efficient 3D Object Detection with Knowledge Distillation
2205.15156
https://arxiv.org/abs/2205.15156v3
https://arxiv.org/pdf/2205.15156v3.pdf
https://github.com/cvmi-lab/sparsekd
true
true
false
pytorch
https://paperswithcode.com/paper/technical-debt-management-in-oss-projects-an
Technical Debt Management in OSS Projects: An Empirical Study on GitHub
2212.05537
https://arxiv.org/abs/2212.05537v1
https://arxiv.org/pdf/2212.05537v1.pdf
https://github.com/ypyixiuxiu/tdmdatasets
true
true
false
none
https://paperswithcode.com/paper/cabvit-cross-attention-among-blocks-for
Fcaformer: Forward Cross Attention in Hybrid Vision Transformer
2211.07198
https://arxiv.org/abs/2211.07198v2
https://arxiv.org/pdf/2211.07198v2.pdf
https://github.com/hkzhang91/cabvit
true
true
false
pytorch
https://paperswithcode.com/paper/oneformer-one-transformer-to-rule-universal
OneFormer: One Transformer to Rule Universal Image Segmentation
2211.06220
https://arxiv.org/abs/2211.06220v2
https://arxiv.org/pdf/2211.06220v2.pdf
https://github.com/SHI-Labs/OneFormer
true
true
true
pytorch
https://paperswithcode.com/paper/fragment-based-molecular-generative-model
Fragment-based molecular generative model with high generalization ability and synthetic accessibility
2111.12907
https://arxiv.org/abs/2111.12907v1
https://arxiv.org/pdf/2111.12907v1.pdf
https://github.com/jaechang-hits/bbar-pytorch
true
false
false
pytorch
https://paperswithcode.com/paper/quantum-approximate-optimization-algorithm-8
Quantum Approximate Optimization Algorithm Parameter Prediction Using a Convolutional Neural Network
2211.09513
https://arxiv.org/abs/2211.09513v3
https://arxiv.org/pdf/2211.09513v3.pdf
https://github.com/NingyiXie/Parameter-to-Parameter-Convolutional-Neural-Network
true
true
true
pytorch
https://paperswithcode.com/paper/towards-a-unified-conformer-structure-from
Towards A Unified Conformer Structure: from ASR to ASV Task
2211.07201
https://arxiv.org/abs/2211.07201v2
https://arxiv.org/pdf/2211.07201v2.pdf
https://github.com/Snowdar/asv-subtools
true
true
true
pytorch
https://paperswithcode.com/paper/decoding-memes-a-comparative-study-of-machine
Decoding Memes: A Comparative Study of Machine Learning Models for Template Identification
2408.08126
https://arxiv.org/abs/2408.08126v1
https://arxiv.org/pdf/2408.08126v1.pdf
https://github.com/hsdslab/meme-research
true
true
false
pytorch