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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)

Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning ICML 2021 Variational Information Bottleneck for Effective Low-Resource Audio Classification Interspeech 2021 Variational Model-based Policy Optimization IJCAI 2021 Variational Prototype Learning for Deep Face Recognition CVPR 2021 Variational Weakly Supervised Sentiment Analysis with Posterior Regularization EACL 2021 VAST: Value Function Factorization with Variable Agent Sub-Teams NeurIPS 2021 VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text NeurIPS 2021 VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts CVPR 2021 VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation ACL 2021 Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting CVPR 2021 Vector Quantized Bayesian Neural Network Inference for Data Streams AAAI 2021 Verdict Inference with Claim and Retrieved Elements Using RoBERTa EMNLP 2021 Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing CVPR 2021 Vi2CLR: Video and Image for Visual Contrastive Learning of Representation ICCV 2021 Video-aided Unsupervised Grammar Induction NAACL 2021 Video Annotation for Visual Tracking via Selection and Refinement ICCV 2021 VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding EMNLP 2021 VideoLT: Large-Scale Long-Tailed Video Recognition ICCV 2021 VideoMoCo: Contrastive Video Representation Learning With Temporally Adversarial Examples CVPR 2021 Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition ICCV 2021 VideoSSL: Semi-Supervised Learning for Video Classification WACV 2021 Video Summarization via Label Distributions Dual-Reward IJCAI 2021 View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data NAACL 2021 Viewmaker Networks: Learning Views for Unsupervised Representation Learning ICLR 2021 ViewNet: Unsupervised Viewpoint Estimation From Conditional Generation ICCV 2021