Skip to content
conftrace_

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)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models EMNLP 2020 CoMic: Complementary Task Learning & Mimicry for Reusable Skills ICML 2020 CoMIR: Contrastive Multimodal Image Representation for Registration NeurIPS 2020 Commonsense Reasoning to Guide Deep Learning for Scene Understanding (Extended Abstract) IJCAI 2020 Community-Centric Graph Convolutional Network for Unsupervised Community Detection IJCAI 2020 Comparison between Voting Classifier and Deep Learning methods for Arabic Dialect Identification COLING 2020 Comparison of Machine Learning Methods for Multi-label Classification of Nursing Education and Licensure Exam Questions EMNLP 2020 Competing Bandits in Matching Markets AISTATS 2020 CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning ACL 2020 Complementary Auxiliary Classifiers for Label-Conditional Text Generation AAAI 2020 Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning IJCAI 2020 Composed Variational Natural Language Generation for Few-shot Intents EMNLP 2020 Composing Elementary Discourse Units in Abstractive Summarization ACL 2020 Composing Good Shots by Exploiting Mutual Relations CVPR 2020 Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion CVPR 2020 Compositionality and Generalization In Emergent Languages ACL 2020 Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract) IJCAI 2020 Compositional Phrase Alignment and Beyond EMNLP 2020 Compositional Transfer in Hierarchical Reinforcement Learning RSS 2020 Compositional Visual Generation with Energy Based Models NeurIPS 2020 Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition NeurIPS 2020 Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection NeurIPS 2020 Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning ACL 2020 Compressing Pre-trained Language Models by Matrix Decomposition AACL 2020 CompRess: Self-Supervised Learning by Compressing Representations NeurIPS 2020