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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)

Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud AAAI 2020 Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability NeurIPS 2020 PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation CVPR 2020 PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network AAAI 2020 PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation EMNLP 2020 Phonetic and Visual Priors for Decipherment of Informal Romanization ACL 2020 Phonological Features for 0-Shot Multilingual Speech Synthesis Interspeech 2020 PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving CVPR 2020 Physically Realizable Adversarial Examples for LiDAR Object Detection CVPR 2020 Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video ICLR 2020 Picking Winning Tickets Before Training by Preserving Gradient Flow ICLR 2020 PIQA: Reasoning about Physical Commonsense in Natural Language AAAI 2020 Pitfalls of Learning a Reward Function Online IJCAI 2020 Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation NeurIPS 2020 PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards CoRL 2020 P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection IJCAI 2020 Plan2Vec: Unsupervised Representation Learning by Latent Plans L4DC 2020 Plan ahead: Self-Supervised Text Planning for Paragraph Completion Task EMNLP 2020 Planning to Explore via Self-Supervised World Models ICML 2020 Planning with Abstract Learned Models While Learning Transferable Subtasks AAAI 2020 PLANS: Neuro-Symbolic Program Learning from Videos NeurIPS 2020 Plugin Networks for Inference under Partial Evidence WACV 2020 p-Norm Flow Diffusion for Local Graph Clustering ICML 2020 PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss Interspeech 2020 PointAugment: An Auto-Augmentation Framework for Point Cloud Classification CVPR 2020