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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)

Vaccinating SER to Neutralize Adversarial Attacks with Self-Supervised Augmentation Strategy Interspeech 2022 Vacillating Human Correlation of SacreBLEU in Unprotected Languages ACL 2022 ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model NAACL 2022 Validating Causal Inference Methods ICML 2022 Value Gradient weighted Model-Based Reinforcement Learning ICLR 2022 VALUE: Understanding Dialect Disparity in NLU ACL 2022 Variable-rate hierarchical CPC leads to acoustic unit discovery in speech NeurIPS 2022 Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation EMNLP 2022 Variational Continual Proxy-Anchor for Deep Metric Learning AISTATS 2022 Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution ACL 2022 Variational Learning for Unsupervised Knowledge Grounded Dialogs IJCAI 2022 Variational On-the-Fly Personalization ICML 2022 Variational oracle guiding for reinforcement learning ICLR 2022 Variational Predictive Routing with Nested Subjective Timescales ICLR 2022 Variations of multi-task learning for spoken language assessment Interspeech 2022 VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty ICML 2022 Varsini_and_Kirthanna@DravidianLangTech-ACL2022-Emotional Analysis in Tamil ACL 2022 vCLIMB: A Novel Video Class Incremental Learning Benchmark CVPR 2022 VECA: A New Benchmark and Toolkit for General Cognitive Development AAAI 2022 Vector-Valued Least-Squares Regression under Output Regularity Assumptions JMLR 2022 Vehicle Trajectory Prediction Works, but Not Everywhere CVPR 2022 Verification and search algorithms for causal DAGs NeurIPS 2022 Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences ICML 2022 Versatile Multi-Modal Pre-Training for Human-Centric Perception CVPR 2022 Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching ICML 2022