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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)

Backdoor Cleansing With Unlabeled Data CVPR 2023 Backdooring Neural Code Search ACL 2023 Background-aware Modeling for Weakly Supervised Sound Event Detection Interspeech 2023 Background-Mixed Augmentation for Weakly Supervised Change Detection AAAI 2023 Backpropagation-Free Deep Learning with Recursive Local Representation Alignment AAAI 2023 Backpropagation Path Search On Adversarial Transferability ICCV 2023 Backprop Induced Feature Weighting for Adversarial Domain Adaptation With Iterative Label Distribution Alignment WACV 2023 Back to the Future: Toward a Hybrid Architecture for Ad Hoc Teamwork AAAI 2023 Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors EMNLP 2023 Back Translation for Speech-to-text Translation Without Transcripts ACL 2023 BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking NeurIPS 2023 Balance Act: Mitigating Hubness in Cross-Modal Retrieval with Query and Gallery Banks EMNLP 2023 Balanced Energy Regularization Loss for Out-of-Distribution Detection CVPR 2023 Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems AAAI 2023 Balanced Off-Policy Evaluation for Personalized Pricing AISTATS 2023 Balanced Product of Calibrated Experts for Long-Tailed Recognition CVPR 2023 Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective NeurIPS 2023 Balancing Lexical and Semantic Quality in Abstractive Summarization ACL 2023 Balancing Logit Variation for Long-Tailed Semantic Segmentation CVPR 2023 Balancing the Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer ACL 2023 Balaur: Language Model Pretraining with Lexical Semantic Relations EMNLP 2023 BALTO: fast tensor program optimization with diversity-based active learning ICLR 2023 Bandit Learnability can be Undecidable COLT 2023 Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits ICML 2023 Bandits with costly reward observations UAI 2023