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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Contrastive General Graph Matching with Adaptive Augmentation Sampling IJCAI 2024 Contrastive Imitation Learning for Language-guided Multi-Task Robotic Manipulation CoRL 2024 Contrastive Instruction Tuning ACL 2024 Contrastive Learning and Inter-Speaker Distribution Alignment Based Unsupervised Domain Adaptation for Robust Speaker Verification Interspeech 2024 Contrastive Learning Approach for Assessment of Phonological Precision in Patients with Tongue Cancer Using MRI Data Interspeech 2024 Contrastive Learning as a Polarizer: Mitigating Gender Bias by Fair and Biased sentences NAACL 2024 Contrastive Learning Drug Response Models from Natural Language Supervision IJCAI 2024 Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking CVPR 2024 Contrastive Learning for Low-Light Raw Denoising (Student Abstract) AAAI 2024 Contrastive Learning for Multi-Object Tracking With Transformers WACV 2024 Contrastive Learning Is Not Optimal for Quasiperiodic Time Series IJCAI 2024 Contrastive Learning is Spectral Clustering on Similarity Graph ICLR 2024 Contrastive Learning to Improve Retrieval for Real-World Fact Checking EMNLP 2024 Contrastive losses as generalized models of global epistasis NeurIPS 2024 Contrastive Mean-Shift Learning for Generalized Category Discovery CVPR 2024 ContrastiveMix: Overcoming Code-Mixing Dilemma in Cross-Lingual Transfer for Information Retrieval NAACL 2024 Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion EMNLP 2024 Contrastive Preference Learning for Neural Machine Translation NAACL 2024 Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning ICLR 2024 Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment CVPR 2024 Contrastive Representation Learning for Self-Supervised Taxonomy Completion IJCAI 2024 Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translation EMNLP 2024 Contrastive Transformer Cross-Modal Hashing for Video-Text Retrieval IJCAI 2024 Contrastive Transformer Masked Image Hashing for Degraded Image Retrieval IJCAI 2024 Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget AAAI 2024