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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)

Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning NeurIPS 2021 Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation ACL 2021 TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training SemEval 2021 Target-Aware Data Augmentation for Stance Detection NAACL 2021 Targeted Adversarial Training for Natural Language Understanding NAACL 2021 Targeted Data Acquisition for Evolving Negotiation Agents ICML 2021 Targeted Keyword Filtering for Accelerated Spoken Topic Identification Interspeech 2021 Targeting the Benchmark: On Methodology in Current Natural Language Processing Research ACL 2021 Task-Adaptive Neural Network Search with Meta-Contrastive Learning NeurIPS 2021 Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding EMNLP 2021 Task-Agnostic Morphology Evolution ICLR 2021 Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data NeurIPS 2021 Task Aligned Generative Meta-learning for Zero-shot Learning AAAI 2021 Task-Aware Variational Adversarial Active Learning CVPR 2021 Task Cooperation for Semi-Supervised Few-Shot Learning AAAI 2021 Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning AAAI 2021 Task-Optimal Exploration in Linear Dynamical Systems ICML 2021 Task Programming: Learning Data Efficient Behavior Representations CVPR 2021 Task Switching Network for Multi-Task Learning ICCV 2021 Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning (Student Abstract) AAAI 2021 TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance ACL 2021 TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract) IJCAI 2021 Teacher-Student Adversarial Depth Hallucination To Improve Face Recognition ICCV 2021 Teacher-Student MixIT for Unsupervised and Semi-Supervised Speech Separation Interspeech 2021 Teaching Active Human Learners AAAI 2021