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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)

Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation ACL 2020 Towards practical differentially private causal graph discovery NeurIPS 2020 Towards Preserving the Ephemeral: Texture-Based Background Modelling for Capturing Back-of-the-Napkin Notes WACV 2020 Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent AAAI 2020 Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps CoRL 2020 Towards Robustifying NLI Models Against Lexical Dataset Biases ACL 2020 Towards Robust Image Classification Using Sequential Attention Models CVPR 2020 Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset AAAI 2020 Towards Scale-Free Rain Streak Removal via Self-Supervised Fractal Band Learning AAAI 2020 Towards Silent Paralinguistics: Deriving Speaking Mode and Speaker ID from Electromyographic Signals Interspeech 2020 Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning AAAI 2020 Toward Stance-based Personas for Opinionated Dialogues EMNLP 2020 Towards Transferable Targeted Attack CVPR 2020 Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks ACML 2020 Towards Understanding the Dynamics of the First-Order Adversaries ICML 2020 Towards Understanding the Regularization of Adversarial Robustness on Neural Networks ICML 2020 Towards Unsupervised Language Understanding and Generation by Joint Dual Learning ACL 2020 Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis CVPR 2020 Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations CVPR 2020 Towards Zero-Shot Learning for Automatic Phonemic Transcription AAAI 2020 Tracking by Instance Detection: A Meta-Learning Approach CVPR 2020 Tracking Disaster Footprints with Social Streaming Data AAAI 2020 Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification AAAI 2020 Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation NeurIPS 2020 Trading Plan Cost for Timeliness in Situated Temporal Planning IJCAI 2020