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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)

Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms COLT 2023 Contextual Bandits and Imitation Learning with Preference-Based Active Queries NeurIPS 2023 Contextual bandits with concave rewards, and an application to fair ranking ICLR 2023 Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression COLT 2023 Contextual Combinatorial Bandits with Probabilistically Triggered Arms ICML 2023 Contextual Conservative Interleaving Bandits ICML 2023 Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining ICLR 2023 Contextual Interaction for Argument Post Quality Assessment EMNLP 2023 Contextual Knowledge Learning for Dialogue Generation ACL 2023 Contextually Affinitive Neighborhood Refinery for Deep Clustering NeurIPS 2023 ConTextual Masked Auto-Encoder for Dense Passage Retrieval AAAI 2023 Contextual Reliability: When Different Features Matter in Different Contexts ICML 2023 Continual Contrastive Finetuning Improves Low-Resource Relation Extraction ACL 2023 Continual Detection Transformer for Incremental Object Detection CVPR 2023 Continual Dialogue State Tracking via Example-Guided Question Answering EMNLP 2023 Continual evaluation for lifelong learning: Identifying the stability gap ICLR 2023 Continual Event Extraction with Semantic Confusion Rectification EMNLP 2023 Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition EMNLP 2023 Continual Graph Convolutional Network for Text Classification AAAI 2023 Continual Knowledge Distillation for Neural Machine Translation ACL 2023 Continual Learners are Incremental Model Generalizers ICML 2023 Continual Learning for Instruction Following from Realtime Feedback NeurIPS 2023 Continual Learning for Personalized Co-speech Gesture Generation ICCV 2023 Continual Learning in Linear Classification on Separable Data ICML 2023 Continual Learning With Dependency Preserving Hypernetworks WACV 2023