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← Learning Types
Machine Learning
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Learning Types
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Contrastive Learning
3,535 papers
Papers per year
2011: 1
2013: 1
2014: 1
2017: 3
2018: 10
2019: 26
2020: 88
2021: 394
2022: 627
2023: 852
2024: 698
2025: 616
2026: 218
Papers
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning
NIPS 2023
Are These the Same Apple? Comparing Images Based on Object Intrinsics
NIPS 2023
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training
NIPS 2023
Towards robust and generalizable representations of extracellular data using contrastive learning
NIPS 2023
Focused Transformer: Contrastive Training for Context Scaling
NIPS 2023
DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening
NIPS 2023
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
NIPS 2023
Graph Contrastive Learning with Stable and Scalable Spectral Encoding
NIPS 2023
Cola: A Benchmark for Compositional Text-to-image Retrieval
NIPS 2023
Test-Time Distribution Normalization for Contrastively Learned Visual-language Models
NIPS 2023
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
NIPS 2023
$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
NIPS 2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
NIPS 2023
Aligning Language Models with Human Preferences via a Bayesian Approach
NIPS 2023
Provable Training for Graph Contrastive Learning
NIPS 2023
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation
NIPS 2023
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
NIPS 2023
Energy-based learning algorithms for analog computing: a comparative study
NIPS 2023
Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment
NIPS 2023
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series
NIPS 2023
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation
NIPS 2023
DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning
NIPS 2023
Identifiable Contrastive Learning with Automatic Feature Importance Discovery
NIPS 2023
Towards Distribution-Agnostic Generalized Category Discovery
NIPS 2023
Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations
NIPS 2023
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