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 Contextual Clinical Prediction with Reverse Distillation AAAI 2021 Deep Co-Training With Task Decomposition for Semi-Supervised Domain Adaptation ICCV 2021 Deep Extended Hazard Models for Survival Analysis NeurIPS 2021 Deep Extrapolation for Attribute-Enhanced Generation NeurIPS 2021 Deep Feature CycleGANs: Speaker Identity Preserving Non-Parallel Microphone-Telephone Domain Adaptation for Speaker Verification Interspeech 2021 Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification AAAI 2021 Deep Fusion Clustering Network AAAI 2021 DeepGaze IIE: Calibrated Prediction in and Out-of-Domain for State-of-the-Art Saliency Modeling ICCV 2021 Deep Generative Missingness Pattern-Set Mixture Models AISTATS 2021 Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing AAAI 2021 Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures AAAI 2021 Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings NeurIPS 2021 Deep Learning for Functional Data Analysis with Adaptive Basis Layers ICML 2021 Deep Learning on a Data Diet: Finding Important Examples Early in Training NeurIPS 2021 Deep Learning with Label Differential Privacy NeurIPS 2021 Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies CVPR 2021 Deeply-Debiased Off-Policy Interval Estimation ICML 2021 Deep Metric Learning for Open World Semantic Segmentation ICCV 2021 Deep Metric Learning with Graph Consistency AAAI 2021 Deep Metric Learning with Self-Supervised Ranking AAAI 2021 Deep Multi-Task Learning for Joint Localization, Perception, and Prediction CVPR 2021 Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language EACL 2021 Deep Noise Suppression with Non-Intrusive PESQNet Supervision Enabling the Use of Real Training Data Interspeech 2021 Deep Open Intent Classification with Adaptive Decision Boundary AAAI 2021 Deep Partial Rank Aggregation for Personalized Attributes AAAI 2021