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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)

MISTI: Metadata-Informed Scientific Text and Image Representation through Contrastive Learning ACL 2024 MIST: Mutual Information Maximization for Short Text Clustering ACL 2024 Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID WACV 2024 Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning ACL 2024 Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor NeurIPS 2024 Mitigating Catastrophic Forgetting in Language Transfer via Model Merging EMNLP 2024 Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal ACL 2024 Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning COLT 2024 Mitigating Emergent Robustness Degradation while Scaling Graph Learning ICLR 2024 Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding ACL 2024 Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension AAAI 2024 Mitigating Label Bias in Machine Learning: Fairness through Confident Learning AAAI 2024 Mitigating Label Noise through Data Ambiguation AAAI 2024 Mitigating Linguistic Artifacts in Emotion Recognition for Conversations from TV Scripts to Daily Conversations COLING 2024 Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation EMNLP 2024 Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering COLING 2024 Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning CVPR 2024 Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange CVPR 2024 Mitigating Open-Vocabulary Caption Hallucinations EMNLP 2024 Mitigating Overfitting in Structured Pruning of ASR Models with Gradient-Guided Parameter Regularization Interspeech 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training ACL 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NeurIPS 2024 Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint) IJCAI 2024 Mitigating Shortcuts in Language Models with Soft Label Encoding COLING 2024