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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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Papers (including subtopics)

Double Explore-then-Commit: Asymptotic Optimality and Beyond COLT 2021 Double Machine Learning Density Estimation for Local Treatment Effects with Instruments NeurIPS 2021 Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference ICML 2021 Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality ICML 2021 Doubly Robust Thompson Sampling with Linear Payoffs NeurIPS 2021 DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning ICML 2021 Do We Know What We Don’t Know? Studying Unanswerable Questions beyond SQuAD 2.0 EMNLP 2021 Do We Really Need Gold Samples for Sample Weighting Under Label Noise? WACV 2021 Do Wider Neural Networks Really Help Adversarial Robustness? NeurIPS 2021 DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples NeurIPS 2021 DreamDrug - A crowdsourced NER dataset for detecting drugs in darknet markets EMNLP 2021 DriftSurf: Stable-State / Reactive-State Learning under Concept Drift ICML 2021 Driver Anomaly Detection: A Dataset and Contrastive Learning Approach WACV 2021 Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates NeurIPS 2021 Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers NeurIPS 2021 Dropout: Explicit Forms and Capacity Control ICML 2021 Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation Interspeech 2021 Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity NeurIPS 2021 Dr-Vectors: Decision Residual Networks and an Improved Loss for Speaker Recognition Interspeech 2021 DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-Scale Consistency CVPR 2021 DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning NeurIPS 2021 DSRNA: Differentiable Search of Robust Neural Architectures CVPR 2021 Dual Active Learning for Both Model and Data Selection IJCAI 2021 Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions NeurIPS 2021 Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval AAAI 2021