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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)

Themis: A Fair Evaluation Platform for Computer Vision Competitions IJCAI 2021 The OOD Blind Spot of Unsupervised Anomaly Detection MIDL 2021 Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data ICLR 2021 Theoretical and Practical Issues in the Semantic Annotation of Four Indigenous Languages EMNLP 2021 Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation AAAI 2021 The Parameterized Complexity of Clustering Incomplete Data AAAI 2021 The Pareto Frontier of model selection for general Contextual Bandits NeurIPS 2021 The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation EMNLP 2021 The Pursuit of Knowledge: Discovering and Localizing Novel Categories Using Dual Memory ICCV 2021 There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge CVPR 2021 There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning NeurIPS 2021 The Role of Syntactic Planning in Compositional Image Captioning EACL 2021 The Sample Complexity of Robust Covariance Testing COLT 2021 The Sample Complexity of Teaching by Reinforcement on Q-Learning AAAI 2021 The Source-Target Domain Mismatch Problem in Machine Translation EACL 2021 The Sparse Vector Technique, Revisited COLT 2021 The Spatially-Correlative Loss for Various Image Translation Tasks CVPR 2021 The statistical advantage of automatic NLG metrics at the system level ACL 2021 The Successful Ingredients of Policy Gradient Algorithms IJCAI 2021 The Surprising Impact of Mask-Head Architecture on Novel Class Segmentation ICCV 2021 The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach EMNLP 2021 The TAL System for the INTERSPEECH2021 Shared Task on Automatic Speech Recognition for Non-Native Childrens Speech Interspeech 2021 The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth CVPR 2021 The Translucent Patch: A Physical and Universal Attack on Object Detectors CVPR 2021 The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings ICLR 2021