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

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3,689

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Papers (including subtopics)

Hierarchical Granularity Transfer Learning NeurIPS 2020 Hierarchical Graph Network for Multi-hop Question Answering EMNLP 2020 Hierarchical Knowledge Squeezed Adversarial Network Compression AAAI 2020 Hierarchically Clustered Representation Learning AAAI 2020 Hierarchically Decoupled Imitation For Morphological Transfer ICML 2020 Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems NeurIPS 2020 Hierarchically Robust Representation Learning CVPR 2020 Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention ACL 2020 Hierarchical Modes Exploring in Generative Adversarial Networks AAAI 2020 Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student Essays IJCAI 2020 Hierarchical Reinforcement Learning for Open-Domain Dialog AAAI 2020 Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract) IJCAI 2020 Hierarchical Verification for Adversarial Robustness ICML 2020 Hierarchy-Aware Global Model for Hierarchical Text Classification ACL 2020 Hierarchy-aware Learning of Sequential Tool Usage via Semi-automatically Constructed Taxonomies COLING 2020 HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis NeurIPS 2020 HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks Interspeech 2020 High-contrast “gaudy” images improve the training of deep neural network models of visual cortex NeurIPS 2020 High-dimensional Linear Discriminant Analysis Classifier for Spiked Covariance Model JMLR 2020 Higher-Order Certification For Randomized Smoothing NeurIPS 2020 High Fidelity Speech Synthesis with Adversarial Networks ICLR 2020 High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification CVPR 2020 High Quality Streaming Speech Synthesis with Low, Sentence-Length-Independent Latency Interspeech 2020 High-recall causal discovery for autocorrelated time series with latent confounders NeurIPS 2020 High-Resolution Daytime Translation Without Domain Labels CVPR 2020