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)

Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning AAAI 2024 Collaborative Contrastive Learning for Hypothesis Domain Adaptation Interspeech 2024 Collaborative Learning across Heterogeneous Systems with Pre-Trained Models AAAI 2024 Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline CVPR 2024 Collaborative Performance Prediction for Large Language Models EMNLP 2024 Collaborative Refining for Learning from Inaccurate Labels NeurIPS 2024 Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis AAAI 2024 ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field AAAI 2024 ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation ACL 2024 CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching NeurIPS 2024 COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks AAAI 2024 Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators AAAI 2024 Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation AAAI 2024 Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation ACL 2024 Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback ICLR 2024 Combinatorial Causal Bandits without Graph Skeleton ACML 2024 Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation AAAI 2024 Combinatorial Stochastic-Greedy Bandit AAAI 2024 Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation EACL 2024 Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types AAAI 2024 Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification AAAI 2024 Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval AAAI 2024 Combining Observational Data and Language for Species Range Estimation NeurIPS 2024 Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs MIDL 2024 Combining Statistical Depth and Fermat Distance for Uncertainty Quantification NeurIPS 2024