Representation Learning
22,308 papers
Papers per year
2
4
3
18
4
9
65
67
82
78
102
104
142
299
274
310
458
748
1,177
1,845
2,058
2,310
2,425
2,953
3,130
2,996
645
2000
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Papers
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels
AISTATS 2024
SKICSE: Sentence Knowable Information Prompted by LLMs Improves Contrastive Sentence Embeddings
NAACL 2024
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
NeurIPS 2024
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
ICML 2024
Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract)
AAAI 2024
Sliced Denoising: A Physics-Informed Molecular Pre-Training Method
ICLR 2024
SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter
ICML 2024
Slot Abstractors: Toward Scalable Abstract Visual Reasoning
ICML 2024
Slot State Space Models
NeurIPS 2024
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
NeurIPS 2024
Smoke and Mirrors in Causal Downstream Tasks
NeurIPS 2024
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search
NeurIPS 2024
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
CVPR 2024
SMR: State Memory Replay for Long Sequence Modeling
ACL 2024
SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction
CVPR 2024
SODA: Bottleneck Diffusion Models for Representation Learning
CVPR 2024
SoftCLIP: Softer Cross-Modal Alignment Makes CLIP Stronger
AAAI 2024
Soft-constrained Schrödinger Bridge: a Stochastic Control Approach
AISTATS 2024
Soft Contrastive Learning for Time Series
ICLR 2024
Soft convex quantization: revisiting Vector Quantization with convex optimization
L4DC 2024
SoftMCL: Soft Momentum Contrastive Learning for Fine-grained Sentiment-aware Pre-training
COLING 2024
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
NeurIPS 2024
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint
AISTATS 2024
Some Like It Small: Czech Semantic Embedding Models for Industry Applications
AAAI 2024
Sõnajaht: Definition Embeddings and Semantic Search for Reverse Dictionary Creation
NAACL 2024