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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)

Recursive Introspection: Teaching Language Model Agents How to Self-Improve NeurIPS 2024 Recursively-Constrained Partially Observable Markov Decision Processes UAI 2024 RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates AAAI 2024 Redefining Proactivity for Information Seeking Dialogue EMNLP 2024 Red Teaming Language Models for Processing Contradictory Dialogues EMNLP 2024 Reduce, Reuse, Recycle: Is Perturbed Data Better than Other Language Augmentation for Low Resource Self-Supervised Speech Models Interspeech 2024 Reducing Privacy Risks in Online Self-Disclosures with Language Models ACL 2024 Reducing Uncertainty in 3D Medical Image Segmentation under Limited Annotations through Contrastive Learning MIDL 2024 REDUCR: Robust Data Downsampling using Class Priority Reweighting NeurIPS 2024 ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks NAACL 2024 Re-Evaluating Evaluation for Multilingual Summarization EMNLP 2024 Re-Evaluating LiDAR Scene Flow WACV 2024 Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction NAACL 2024 ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution NeurIPS 2024 Reference-based Metrics Disprove Themselves in Question Generation EMNLP 2024 Reference-guided Style-Consistent Content Transfer COLING 2024 Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models NeurIPS 2024 Referral Augmentation for Zero-Shot Information Retrieval ACL 2024 Referring Human Pose and Mask Estimation In the Wild NeurIPS 2024 Refine, Align, and Aggregate: Multi-view Linguistic Features Enhancement for Aspect Sentiment Triplet Extraction ACL 2024 Refined Characterizations of Approval-Based Committee Scoring Rules AAAI 2024 Refining Idioms Semantics Comprehension via Contrastive Learning and Cross-Attention COLING 2024 Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks AAAI 2024 Refining Self-supervised Learnt Speech Representation using Brain Activations Interspeech 2024 ReFIR: Grounding Large Restoration Models with Retrieval Augmentation NeurIPS 2024