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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)

Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms AISTATS 2021 Towards Understanding the Generative Capability of Adversarially Robust Classifiers ICCV 2021 Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games NeurIPS 2021 Towards Universal Physical Attacks on Single Object Tracking AAAI 2021 Towards Unsupervised Deformable-Instances Image-to-Image Translation IJCAI 2021 Towards Unsupervised Phone and Word Segmentation Using Self-Supervised Vector-Quantized Neural Networks Interspeech 2021 Towards User-Driven Neural Machine Translation ACL 2021 Towards Visual Question Answering on Pathology Images ACL 2021 Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems EMNLP 2021 Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models EMNLP 2021 Towards Zero-Shot Knowledge Distillation for Natural Language Processing EMNLP 2021 Towards Zero-Shot Learning With Fewer Seen Class Examples WACV 2021 Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning ICML 2021 Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery AAAI 2021 Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision ICCV 2021 Track, Check, Repeat: An EM Approach to Unsupervised Tracking CVPR 2021 Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing AAAI 2021 Tracking Regret Bounds for Online Submodular Optimization AISTATS 2021 Tracklet Proposal Network for Multi-Object Tracking on Point Clouds IJCAI 2021 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows NeurIPS 2021 TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors CVPR 2021 TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning IJCAI 2021 Trainable Ranking Models to Evaluate the Semantic Accuracy of Data-to-Text Neural Generator EMNLP 2021 Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning AAAI 2021 Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ICML 2021