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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)

RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation CVPR 2024 RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier NeurIPS 2024 RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning NeurIPS 2024 Rapid Language Adaptation for Multilingual E2E Speech Recognition Using Encoder Prompting Interspeech 2024 Rapid Plug-in Defenders NeurIPS 2024 RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering ICLR 2024 RAR: Retrieval-augmented retrieval for code generation in low resource languages EMNLP 2024 Rating-Based Reinforcement Learning AAAI 2024 RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models EMNLP 2024 Rationale-Aware Answer Verification by Pairwise Self-Evaluation EMNLP 2024 Rationale-based Learning Using Self-Supervised Narrative Events for Text Summarisation of Interactive Digital Narratives COLING 2024 Rationale-based Opinion Summarization NAACL 2024 Rationales for Answers to Simple Math Word Problems Confuse Large Language Models ACL 2024 RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation ICML 2024 RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models NeurIPS 2024 RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees NeurIPS 2024 RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation NeurIPS 2024 RCL: Reliable Continual Learning for Unified Failure Detection CVPR 2024 RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design ICLR 2024 ReactZyme: A Benchmark for Enzyme-Reaction Prediction NeurIPS 2024 READ: Improving Relation Extraction from an ADversarial Perspective NAACL 2024 Reading Does Not Equal Reading: Comparing, Simulating and Exploiting Reading Behavior across Populations COLING 2024 ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment EMNLP 2024 Readout Guidance: Learning Control from Diffusion Features CVPR 2024 RealDex: Towards Human-like Grasping for Robotic Dexterous Hand IJCAI 2024