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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)

Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models AAAI 2021 Physics-informed Spline Learning for Nonlinear Dynamics Discovery IJCAI 2021 Physics-penalised Regularisation for Learning Dynamics Models with Contact L4DC 2021 PIAP-DF: Pixel-Interested and Anti Person-Specific Facial Action Unit Detection Net With Discrete Feedback Learning ICCV 2021 PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering CVPR 2021 PID-Based Approach to Adversarial Attacks AAAI 2021 PILOT: Introducing Transformers for Probabilistic Sound Event Localization Interspeech 2021 P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion EMNLP 2021 PiRank: Scalable Learning To Rank via Differentiable Sorting NeurIPS 2021 Pivot Based Transfer Learning for Neural Machine Translation: CFILT IITB @ WMT 2021 Triangular MT EMNLP 2021 Pixel Codec Avatars CVPR 2021 Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation ICCV 2021 PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training CVPR 2021 PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation With Neural Positional Encoding and Distilled Matting Loss CVPR 2021 Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks ICLR 2021 Planning and Reinforcement Learning for General-Purpose Service Robots IJCAI 2021 Planning Multimodal Exploratory Actions for Online Robot Attribute Learning RSS 2021 Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration IJCAI 2021 PLATO-KAG: Unsupervised Knowledge-Grounded Conversation via Joint Modeling EMNLP 2021 Play to Grade: Testing Coding Games as Classifying Markov Decision Process NeurIPS 2021 PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning NeurIPS 2021 PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction ACL 2021 PLOP: Learning Without Forgetting for Continual Semantic Segmentation CVPR 2021 PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context ACL 2021 Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation NAACL 2021