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)

Training-free Deep Concept Injection Enables Language Models for Video Question Answering EMNLP 2024 Training-Free Object Counting With Prompts WACV 2024 Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation CVPR 2024 Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation CVPR 2024 Training Vision Transformers for Semi-Supervised Semantic Segmentation CVPR 2024 Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation EMNLP 2024 TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks NeurIPS 2024 Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear q^π-Realizability and Concentrability NeurIPS 2024 TRAM: Benchmarking Temporal Reasoning for Large Language Models ACL 2024 TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration NeurIPS 2024 Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition Interspeech 2024 Transcriptomics-guided Slide Representation Learning in Computational Pathology CVPR 2024 Transductive Active Learning: Theory and Applications NeurIPS 2024 Transductive Zero-Shot and Few-Shot CLIP CVPR 2024 TransFed: A Way To Epitomize Focal Modulation Using Transformer-Based Federated Learning WACV 2024 Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NeurIPS 2024 Transferability of Syntax-Aware Graph Neural Networks in Zero-Shot Cross-Lingual Semantic Role Labeling EMNLP 2024 Transferable Adversarial Attacks for Object Detection Using Object-Aware Significant Feature Distortion AAAI 2024 Transferable Adversarial Attacks on SAM and Its Downstream Models NeurIPS 2024 Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking ACL 2024 Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training CVPR 2024 Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks CoRL 2024 Transfer and Alignment Network for Generalized Category Discovery AAAI 2024 Transfer CLIP for Generalizable Image Denoising CVPR 2024 Transfer Learning for Latent Variable Network Models NeurIPS 2024