Skip to content
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

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

Papers (including subtopics)

Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++ CVPR 2018 Efficient Keyword Spotting Using Time Delay Neural Networks Interspeech 2018 Efficient Large-Scale Neural Domain Classification with Personalized Attention ACL 2018 Efficient Loss-Based Decoding on Graphs for Extreme Classification NeurIPS 2018 Efficiently Sampling from Underlying Models RSS 2018 Efficient Mechanisms for Peer Grading and Dueling Bandits ACML 2018 Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation ICML 2018 Efficient nonmyopic batch active search NeurIPS 2018 Efficient online algorithms for fast-rate regret bounds under sparsity NeurIPS 2018 Efficient Online Portfolio with Logarithmic Regret NeurIPS 2018 Efficient Online Scalar Annotation with Bounded Support ACL 2018 Efficient Parametrization of Multi-Domain Deep Neural Networks CVPR 2018 Efficient Weight Learning in High-Dimensional Untied MLNs AISTATS 2018 Egocentric Activity Recognition on a Budget CVPR 2018 Embedding Learning Through Multilingual Concept Induction ACL 2018 Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility ACL 2018 Emergence of Invariance and Disentanglement in Deep Representations JMLR 2018 Emergency Response Optimization using Online Hybrid Planning IJCAI 2018 Emergent Tangled Program Graphs in Multi-Task Learning IJCAI 2018 Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training EMNLP 2018 EmoNLP at IEST 2018: An Ensemble of Deep Learning Models and Gradient Boosting Regression Tree for Implicit Emotion Prediction in Tweets EMNLP 2018 EmotionX-AR: CNN-DCNN autoencoder based Emotion Classifier ACL 2018 EmotionX-JTML: Detecting emotions with Attention ACL 2018 Empirical Evaluation of Speaker Adaptation on DNN Based Acoustic Model Interspeech 2018 Enabling Deep Learning of Emotion With First-Person Seed Expressions NAACL 2018