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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)

Rethinking the Reverse-engineering of Trojan Triggers NeurIPS 2022 Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022 Rethinking the Setting of Semi-supervised Learning on Graphs IJCAI 2022 Rethinking Value Function Learning for Generalization in Reinforcement Learning NeurIPS 2022 Rethinking Video Anomaly Detection - A Continual Learning Approach WACV 2022 Rethinking Visual Geo-Localization for Large-Scale Applications CVPR 2022 [RETRACTED] NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation COLING 2022 Retrieval-Augmented Diffusion Models NeurIPS 2022 Retrieval-Augmented Reinforcement Learning ICML 2022 RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval ICML 2022 Retrieval-guided Counterfactual Generation for QA ACL 2022 Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph ICLR 2022 RetrieverTTS: Modeling Decomposed Factors for Text-Based Speech Insertion Interspeech 2022 RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder EMNLP 2022 Retrospective Adversarial Replay for Continual Learning NeurIPS 2022 Return of the bias: Almost minimax optimal high probability bounds for adversarial linear bandits COLT 2022 REUSE: REference-free UnSupervised Quality Estimation Metric EMNLP 2022 Reusing a Multi-lingual Setup to Bootstrap a Grammar Checker for a Very Low Resource Language without Data ACL 2022 Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation CVPR 2022 Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process IJCAI 2022 Reverse Engineering ℓ_p attacks: A block-sparse optimization approach with recovery guarantees ICML 2022 Reverse Engineering of Imperceptible Adversarial Image Perturbations ICLR 2022 Reverse-mode differentiation in arbitrary tensor network format: with application to supervised learning JMLR 2022 Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization ICML 2022 Revisiting Automatic Evaluation of Extractive Summarization Task: Can We Do Better than ROUGE? ACL 2022