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)

Papers per year

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1,314

2,083

3,689

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8,201

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Papers (including subtopics)

Accurate Supervised and Semi-Supervised Machine Reading for Long Documents EMNLP 2017 A Challenge Set Approach to Evaluating Machine Translation EMNLP 2017 A Continuously Growing Dataset of Sentential Paraphrases EMNLP 2017 A Contrast Function and Algorithm for Blind Separation of Audio Signals Interspeech 2017 A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space ACML 2017 Action Centered Contextual Bandits NeurIPS 2017 Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning CVPR 2017 Action Unit Detection With Region Adaptation, Multi-Labeling Learning and Optimal Temporal Fusing CVPR 2017 ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification CVPR 2017 Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples NeurIPS 2017 Active Exploration for Learning Symbolic Representations NeurIPS 2017 Active Heteroscedastic Regression ICML 2017 Active Incremental Learning of Robot Movement Primitives CoRL 2017 Active Learning for Accurate Estimation of Linear Models ICML 2017 Active Learning for Black-Box Semantic Role Labeling with Neural Factors IJCAI 2017 Active Learning for Cost-Sensitive Classification ICML 2017 Active Learning for Top-K Rank Aggregation from Noisy Comparisons ICML 2017 Active Learning from Peers NeurIPS 2017 Active Positive Semidefinite Matrix Completion: Algorithms, Theory and Applications AISTATS 2017 Active Preference-Based Learning of Reward Functions RSS 2017 Active Sentiment Domain Adaptation ACL 2017 AdaGAN: Boosting Generative Models NeurIPS 2017 Adapting Kernel Representations Online Using Submodular Maximization ICML 2017 Adaptive Active Hypothesis Testing under Limited Information NeurIPS 2017 Adaptive Batch Size for Safe Policy Gradients NeurIPS 2017