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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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2000
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Papers (including subtopics)

Randomization matters How to defend against strong adversarial attacks ICML 2020 Randomized Block-Diagonal Preconditioning for Parallel Learning ICML 2020 Randomized Exploration for Non-Stationary Stochastic Linear Bandits UAI 2020 Randomized Exploration in Generalized Linear Bandits AISTATS 2020 Random Smoothing Might be Unable to Certify ℓ_∞ Robustness for High-Dimensional Images JMLR 2020 Rank3DGAN: Semantic Mesh Generation Using Relative Attributes AAAI 2020 Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions ICML 2020 Ranking Policy Gradient ICLR 2020 Rapid Enhancement of NLP Systems by Acquisition of Data in Correlated Domains Interspeech 2020 Rapid RNN-T Adaptation Using Personalized Speech Synthesis and Neural Language Generator Interspeech 2020 RaPP: Novelty Detection with Reconstruction along Projection Pathway ICLR 2020 Rational neural networks NeurIPS 2020 RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning NeurIPS 2020 Rception: Wide and Deep Interaction Networks for Machine Reading Comprehension (Student Abstract) AAAI 2020 Ready Policy One: World Building Through Active Learning ICML 2020 Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose AAAI 2020 Real or Not Real, that is the Question ICLR 2020 Real-time Classification, Geolocation and Interactive Visualization of COVID-19 Information Shared on Social Media to Better Understand Global Developments EMNLP 2020 Real-World Person Re-Identification via Degradation Invariance Learning CVPR 2020 Reasoning on Knowledge Graphs with Debate Dynamics AAAI 2020 Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association ACL 2020 Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning IJCAI 2020 Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting EMNLP 2020 Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey COLING 2020 Reciprocal Adversarial Learning via Characteristic Functions NeurIPS 2020