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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)

Better than Average: Paired Evaluation of NLP systems ACL 2021 Beyond Bandit Feedback in Online Multiclass Classification NeurIPS 2021 Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning NAACL 2021 Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise AAAI 2021 Beyond English-Centric Multilingual Machine Translation JMLR 2021 Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation EMNLP 2021 Beyond Image to Depth: Improving Depth Prediction Using Echoes CVPR 2021 Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? AISTATS 2021 Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection CVPR 2021 Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering ICCV 2021 Beyond Short Clips: End-to-End Video-Level Learning With Collaborative Memories CVPR 2021 Beyond Static Features for Temporally Consistent 3D Human Pose and Shape From a Video CVPR 2021 Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of Registers EACL 2021 Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design ICML 2021 Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers EMNLP 2021 Beyond Trivial Counterfactual Explanations With Diverse Valuable Explanations ICCV 2021 Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization ICML 2021 BFClass: A Backdoor-free Text Classification Framework EMNLP 2021 Bias-Robust Bayesian Optimization via Dueling Bandits ICML 2021 Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation AAAI 2021 Bi-Directional Joint Neural Networks for Intent Classification and Slot Filling Interspeech 2021 Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation AAAI 2021 Bifold and Semantic Reasoning for Pedestrian Behavior Prediction ICCV 2021 Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search AAAI 2021 Big Self-Supervised Models Advance Medical Image Classification ICCV 2021