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)

Deep Rao-Blackwellised Particle Filters for Time Series Forecasting NeurIPS 2020 Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning ICML 2020 Deep Reinforcement and InfoMax Learning NeurIPS 2020 Deep Reinforcement Learning for Active Human Pose Estimation AAAI 2020 Deep Reinforcement Learning with Robust and Smooth Policy ICML 2020 Deep Residual Flow for Out of Distribution Detection CVPR 2020 Deep Self-Supervised Hierarchical Clustering for Speaker Diarization Interspeech 2020 Deep Semantic Clustering by Partition Confidence Maximisation CVPR 2020 Deep Semi-Supervised Anomaly Detection ICLR 2020 Deep Shells: Unsupervised Shape Correspondence with Optimal Transport NeurIPS 2020 Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing AAAI 2020 Deep Streaming Label Learning ICML 2020 Deep Template Matching for Small-Footprint and Configurable Keyword Spotting Interspeech 2020 Deep Transformation-Invariant Clustering NeurIPS 2020 Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval AAAI 2020 DeezyMatch: A Flexible Deep Learning Approach to Fuzzy String Matching EMNLP 2020 DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning CVPR 2020 Defending Against Physically Realizable Attacks on Image Classification ICLR 2020 Defending Against Universal Attacks Through Selective Feature Regeneration CVPR 2020 Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack CVPR 2020 Defending with Shared Resources on a Network AAAI 2020 Defense for Black-Box Attacks on Anti-Spoofing Models by Self-Supervised Learning Interspeech 2020 DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets AAAI 2020 DeftPunk at SemEval-2020 Task 6: Using RNN-ensemble for the Sentence Classification. SemEval 2020 DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier AAAI 2020