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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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Papers (including subtopics)

RFNet: Unsupervised Network for Mutually Reinforcing Multi-Modal Image Registration and Fusion CVPR 2022 RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation CVPR 2022 Rich Feature Construction for the Optimization-Generalization Dilemma ICML 2022 Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence EMNLP 2022 RID-Noise: Towards Robust Inverse Design under Noisy Environments AAAI 2022 RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior CVPR 2022 RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures CVPR 2022 RIO: Rotation-Equivariance Supervised Learning of Robust Inertial Odometry CVPR 2022 Risk-Averse No-Regret Learning in Online Convex Games ICML 2022 RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees EMNLP 2022 RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning EMNLP 2022 RL with KL penalties is better viewed as Bayesian inference EMNLP 2022 RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering ACL 2022 RNSum: A Large-Scale Dataset for Automatic Release Note Generation via Commit Logs Summarization ACL 2022 Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge NeurIPS 2022 Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on YouTube RSS 2022 Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation ICML 2022 Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay AAAI 2022 Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap AISTATS 2022 Robust Bayesian Regression via Hard Thresholding NeurIPS 2022 Robust Binary Models by Pruning Randomly-initialized Networks NeurIPS 2022 Robust Combination of Distributed Gradients Under Adversarial Perturbations CVPR 2022 Robust computation of optimal transport by $β$-potential regularization ACML 2022 Robust Contrastive Learning Against Noisy Views CVPR 2022 Robust Conversational Agents against Imperceptible Toxicity Triggers NAACL 2022