Skip to content
conftrace_

Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models CVPR 2024 Diffusion Actor-Critic with Entropy Regulator NeurIPS 2024 Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection NeurIPS 2024 Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NeurIPS 2024 Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion NeurIPS 2024 Diffusion for World Modeling: Visual Details Matter in Atari NeurIPS 2024 Diffusion Model Alignment Using Direct Preference Optimization CVPR 2024 Diffusion Models are Certifiably Robust Classifiers NeurIPS 2024 Diffusion Models Meet Image Counter-Forensics WACV 2024 Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement NeurIPS 2024 DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data CVPR 2024 Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NeurIPS 2024 Diffusion-Reward Adversarial Imitation Learning NeurIPS 2024 Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow (Student Abstract) AAAI 2024 DILAB at #SMM4H 2024: Analyzing Social Anxiety Effects through Context-Aware Transfer Learning on Reddit Data ACL 2024 DIOD: Self-Distillation Meets Object Discovery CVPR 2024 DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection NeurIPS 2024 DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning CVPR 2024 Direction-Aware Video Demoiréing with Temporal-Guided Bilateral Learning AAAI 2024 Direct May Not Be the Best: An Incremental Evolution View of Pose Generation AAAI 2024 Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation MLHC 2024 Direct Preference Optimization with an Offset ACL 2024 Direct Unlearning Optimization for Robust and Safe Text-to-Image Models NeurIPS 2024 Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024 Dirichlet Continual Learning: Tackling Catastrophic Forgetting in NLP UAI 2024