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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)

UniHD at TSAR-2022 Shared Task: Is Compute All We Need for Lexical Simplification? EMNLP 2022 Uni[MASK]: Unified Inference in Sequential Decision Problems NeurIPS 2022 UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning EMNLP 2022 Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs NeurIPS 2022 Uni-Perceiver: Pre-Training Unified Architecture for Generic Perception for Zero-Shot and Few-Shot Tasks CVPR 2022 UniRank: Unimodal Bandit Algorithms for Online Ranking ICML 2022 UNISON: Unpaired Cross-Lingual Image Captioning AAAI 2022 Universal and data-adaptive algorithms for model selection in linear contextual bandits ICML 2022 Universality of Winning Tickets: A Renormalization Group Perspective ICML 2022 Universalizing Weak Supervision ICLR 2022 Universal Online Learning: an Optimistically Universal Learning Rule COLT 2022 Universal Online Learning with Bounded Loss: Reduction to Binary Classification COLT 2022 Universal Rates for Interactive Learning NeurIPS 2022 UniVIP: A Unified Framework for Self-Supervised Visual Pre-Training CVPR 2022 UniXcoder: Unified Cross-Modal Pre-training for Code Representation ACL 2022 Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation NeurIPS 2022 Unknown-Aware Object Detection: Learning What You Don't Know From Videos in the Wild CVPR 2022 Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective JMLR 2022 Unlabeled Data Help: Minimax Analysis and Adversarial Robustness AISTATS 2022 Unleashing Potential of Unsupervised Pre-Training With Intra-Identity Regularization for Person Re-Identification CVPR 2022 Unmasking the Mask – Evaluating Social Biases in Masked Language Models AAAI 2022 Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning AAAI 2022 Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity NeurIPS 2022 Unpaired Deep Image Deraining Using Dual Contrastive Learning CVPR 2022 Unregulated Chinese-to-English Data Expansion Does NOT Work for Neural Event Detection COLING 2022