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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)

Improve CAM With Auto-Adapted Segmentation and Co-Supervised Augmentation WACV 2021 Improved Algorithms for Agnostic Pool-based Active Classification ICML 2021 Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov Noise COLT 2021 Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions COLT 2021 Improved Consistency Regularization for GANs AAAI 2021 Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021 Improved, Deterministic Smoothing for L_1 Certified Robustness ICML 2021 Improved Knowledge Modeling and Its Use for Signaling in Multi-Agent Planning with Partial Observability AAAI 2021 Improved Latent Tree Induction with Distant Supervision via Span Constraints EMNLP 2021 Improved Meta-Learning Training for Speaker Verification Interspeech 2021 Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction EMNLP 2021 Improved Mutual Information Estimation AAAI 2021 Improved Named Entity Recognition for Noisy Call Center Transcripts EMNLP 2021 Improved OOD Generalization via Adversarial Training and Pretraing ICML 2021 Improved pronunciation prediction accuracy using morphology ACL 2021 Improved Regret Bound and Experience Replay in Regularized Policy Iteration ICML 2021 Improved Regret for Zeroth-Order Stochastic Convex Bandits COLT 2021 Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration AAAI 2021 Improvement of Automatic English Pronunciation Assessment with Small Number of Utterances Using Sentence Speakability Interspeech 2021 Improve Unsupervised Pretraining for Few-Label Transfer ICCV 2021 Improving Accent Identification and Accented Speech Recognition Under a Framework of Self-Supervised Learning Interspeech 2021 Improving Adversarial Robustness via Channel-wise Activation Suppressing ICLR 2021 Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints AAAI 2021 Improving Adversarial Robustness via Unlabeled Out-of-Domain Data AISTATS 2021 Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract) AAAI 2021