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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)

What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? ACL 2021 What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP EMNLP 2021 What Makes a Scientific Paper be Accepted for Publication? EMNLP 2021 What Makes Instance Discrimination Good for Transfer Learning? ICLR 2021 What Matters for Adversarial Imitation Learning? NeurIPS 2021 What’s Hidden in a One-layer Randomly Weighted Transformer? EMNLP 2021 What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering AAAI 2021 What to Pre-Train on? Efficient Intermediate Task Selection EMNLP 2021 What transfers in morphological inflection? Experiments with analogical models ACL 2021 What Went Wrong? Explaining Overall Dialogue Quality through Utterance-Level Impacts EMNLP 2021 When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework CVPR 2021 When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC ICML 2021 When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? NeurIPS 2021 When does Further Pre-training MLM Help? An Empirical Study on Task-Oriented Dialog Pre-training EMNLP 2021 When Does Gradient Descent with Logistic Loss Find Interpolating Two-Layer Networks? JMLR 2021 When Do You Need Billions of Words of Pretraining Data? ACL 2021 When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks CVPR 2021 When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting NeurIPS 2021 When is particle filtering efficient for planning in partially observed linear dynamical systems? UAI 2021 When Is Unsupervised Disentanglement Possible? NeurIPS 2021 When Optimizing f-Divergence is Robust with Label Noise ICLR 2021 When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions EMNLP 2021 When the Echo Chamber Shatters: Examining the Use of Community-Specific Language Post-Subreddit Ban ACL 2021 When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence AISTATS 2021 Where and What? Examining Interpretable Disentangled Representations CVPR 2021