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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)

Asymmetric Masked Distillation for Pre-Training Small Foundation Models CVPR 2024 Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval AAAI 2024 Asynchronous Voice Anonymization Using Adversarial Perturbation On Speaker Embedding Interspeech 2024 A synthetic data approach for domain generalization of NLI models ACL 2024 A Systematic Survey on Federated Semi-supervised Learning IJCAI 2024 AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction AAAI 2024 A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection CVPR 2024 Athena: Safe Autonomous Agents with Verbal Contrastive Learning EMNLP 2024 A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning NeurIPS 2024 A Theoretical Understanding of Self-Correction through In-context Alignment NeurIPS 2024 A Theory of Fault-Tolerant Learning ICML 2024 A Theory of Optimistically Universal Online Learnability for General Concept Classes NeurIPS 2024 A Thorough Examination of Decoding Methods in the Era of LLMs EMNLP 2024 ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator EMNLP 2024 Atomic Inference for NLI with Generated Facts as Atoms EMNLP 2024 Atomic Recovery Property for Multi-view Subspace-Preserving Recovery IJCAI 2024 Atom-Level Optical Chemical Structure Recognition with Limited Supervision CVPR 2024 A Toolbox for Modelling Engagement with Educational Videos AAAI 2024 A Topology-aware Graph Coarsening Framework for Continual Graph Learning NeurIPS 2024 A Tractable Inference Perspective of Offline RL NeurIPS 2024 A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning AAAI 2024 A Transformer-Based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation IJCAI 2024 A Tree-of-Thoughts to Broaden Multi-step Reasoning across Languages NAACL 2024 Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation AAAI 2024 Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data ICML 2024