conftrace_

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)

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Papers (including subtopics)

Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems NeurIPS 2019 Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function NeurIPS 2019 Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives NeurIPS 2019 Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel NeurIPS 2019 Regularized Gradient Boosting NeurIPS 2019 Regularized Weighted Low Rank Approximation NeurIPS 2019 Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters AAAI 2019 Regularizing Model-Based Planning with Energy-Based Models CoRL 2019 Regularizing Neural Networks via Stochastic Branch Layers ACML 2019 Regularizing Trajectory Optimization with Denoising Autoencoders NeurIPS 2019 Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation CVPR 2019 Reinforced Negative Sampling for Recommendation with Exposure Data IJCAI 2019 Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews EMNLP 2019 Reinforced Training Data Selection for Domain Adaptation ACL 2019 Reinforcement-based denoising of distantly supervised NER with partial annotation EMNLP 2019 Reinforcement Learning under Threats AAAI 2019 Relational Action Forecasting CVPR 2019 Relation Discovery with Out-of-Relation Knowledge Base as Supervision NAACL 2019 Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning CoRL 2019 Relevance-Based Feature Masking: Improving Neural Network Based Whale Classification Through Explainable Artificial Intelligence Interspeech 2019 RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes ICCV 2019 Reliable training and estimation of variance networks NeurIPS 2019 REM: From Structural Entropy to Community Structure Deception NeurIPS 2019 RENAS: Reinforced Evolutionary Neural Architecture Search CVPR 2019 RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation AAAI 2019