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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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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning AAAI 2022 Transn’s Submissions to the WMT22 Translation Suggestion Task EMNLP 2022 Transparent Human Evaluation for Image Captioning NAACL 2022 Transplantation of Conversational Speaking Style with Interjections in Sequence-to-Sequence Speech Synthesis Interspeech 2022 TransRAC: Encoding Multi-Scale Temporal Correlation With Transformers for Repetitive Action Counting CVPR 2022 TransRank: Self-Supervised Video Representation Learning via Ranking-Based Transformation Recognition CVPR 2022 TransTab: Learning Transferable Tabular Transformers Across Tables NeurIPS 2022 TransZero: Attribute-Guided Transformer for Zero-Shot Learning AAAI 2022 Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork NeurIPS 2022 TRAttack: Text Rewriting Attack Against Text Retrieval ACL 2022 Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation CVPR 2022 TreeMAN: Tree-enhanced Multimodal Attention Network for ICD Coding COLING 2022 TreeMoCo: Contrastive Neuron Morphology Representation Learning NeurIPS 2022 Tree-Values: Selective Inference for Regression Trees JMLR 2022 TRGP: Trust Region Gradient Projection for Continual Learning ICLR 2022 Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision EMNLP 2022 Tricks for Training Sparse Translation Models NAACL 2022 Triggerless Backdoor Attack for NLP Tasks with Clean Labels NAACL 2022 TRILLsson: Distilled Universal Paralinguistic Speech Representations Interspeech 2022 Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model NeurIPS 2022 Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation AISTATS 2022 TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection EMNLP 2022 Truncated Matrix Power Iteration for Differentiable DAG Learning NeurIPS 2022 TrustAL: Trustworthy Active Learning Using Knowledge Distillation AAAI 2022 Trusted Loss Correction for Noisy Multi-Label Learning ACML 2022