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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)

Almost Envy-freeness, Envy-rank, and Nash Social Welfare Matchings AAAI 2021 (Almost) Free Incentivized Exploration from Decentralized Learning Agents NeurIPS 2021 Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits ICML 2021 Alohamora: Reviving HTTP/2 Push and Preload by Adapting Policies On the Fly NSDI 2021 AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence CVPR 2021 Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models EACL 2021 Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective AAAI 2021 Alternative Microfoundations for Strategic Classification ICML 2021 Altruism Design in Networked Public Goods Games IJCAI 2021 ALUE: Arabic Language Understanding Evaluation EACL 2021 Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning ICCV 2021 A Machine Teaching Framework for Scalable Recognition ICCV 2021 Amata: An Annealing Mechanism for Adversarial Training Acceleration AAAI 2021 A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning NeurIPS 2021 A Max-Min Entropy Framework for Reinforcement Learning NeurIPS 2021 Amendable Generation for Dialogue State Tracking EMNLP 2021 A Meta-Learning Approach for User-Defined Spoken Term Classification with Varying Classes and Examples Interspeech 2021 Amherst685 at SemEval-2021 Task 7: Joint Modeling of Classification and Regression for Humor and Offense SemEval 2021 A Minimalist Approach to Offline Reinforcement Learning NeurIPS 2021 A Mixture-of-Experts Model for Antonym-Synonym Discrimination ACL 2021 A Multi-Class Hinge Loss for Conditional GANs WACV 2021 A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation EMNLP 2021 A Multilingual Approach to Identify and Classify Exceptional Measures against COVID-19 EMNLP 2021 A Multi-Task Learning Approach for Human Activity Segmentation and Ergonomics Risk Assessment WACV 2021 A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering ACL 2021