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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)

Contrastive Self-Supervised Learning for Commonsense Reasoning ACL 2020 Contrastive Variational Reinforcement Learning for Complex Observations CoRL 2020 Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack COLING 2020 Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization AAAI 2020 Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation EMNLP 2020 Controllable Text Generation with Focused Variation EMNLP 2020 Controlled Crowdsourcing for High-Quality QA-SRL Annotation ACL 2020 Controlling Contact-Rich Manipulation Under Partial Observability RSS 2020 Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics ICML 2020 Convergence of Gradient Methods on Bilinear Zero-Sum Games ICLR 2020 Converting Anyone’s Emotion: Towards Speaker-Independent Emotional Voice Conversion Interspeech 2020 Convolutional dictionary learning based auto-encoders for natural exponential-family distributions ICML 2020 Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection IJCAI 2020 Conv-TasSAN: Separative Adversarial Network Based on Conv-TasNet Interspeech 2020 CooBa: Cross-project Bug Localization via Adversarial Transfer Learning IJCAI 2020 Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises CVPR 2020 Coordination without communication: optimal regret in two players multi-armed bandits COLT 2020 CoPhy: Counterfactual Learning of Physical Dynamics ICLR 2020 CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech Interspeech 2020 CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning AAAI 2020 CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models EMNLP 2020 Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning AAAI 2020 CORA: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific Articles EMNLP 2020 CoRefi: A Crowd Sourcing Suite for Coreference Annotation EMNLP 2020 Coresets for Robust Training of Deep Neural Networks against Noisy Labels NeurIPS 2020