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)

A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling CVPR 2026 A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting ACL 2026 A Unified Perspective on Adversarial Membership Manipulation in Vision Models CVPR 2026 AutoCut: End-to-end advertisement video editing based on multimodal discretization and controllable generation CVPR 2026 Automated Suturing Skill Assessment in Robot-assisted Surgery from Endoscopic Videos using Clinically-guided Evaluation Criteria WACV 2026 Automatic Prompt Engineering for Scalable Prompt Inversion in Text-to-Image Ad Generation ACL 2026 AutoRegressive Generation with B-rep Holistic Token Sequence Representation CVPR 2026 AuViRe: Audio-visual Speech Representation Reconstruction for Deepfake Temporal Localization WACV 2026 Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation CVPR 2026 AvatarPointillist: AutoRegressive 4D Gaussian Avatarization CVPR 2026 AviaSafe: A Physics-Informed Data-Driven Model for Aviation Safety-Critical Cloud Forecasts CVPR 2026 AVION: Aerial Vision-Language Instruction from Offline Teacher to Prompt-Tuned Network CVPR 2026 Awakening Dormant Experts:Counterfactual Routing to Mitigate MoE Hallucinations ACL 2026 Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward ACL 2026 BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation CVPR 2026 Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection CVPR 2026 Back to Source: Open-Set Continual Test-Time Adaptation via Domain Compensation CVPR 2026 BAgger: Backwards Aggregation for Mitigating Drift in Autoregressive Video Diffusion Models CVPR 2026 BAHAHA at SemEval-2026 Task 1: Benchmarking-Aware Humor Authoring with Hybrid Assessment and Adaptation SemEval 2026 Balanced Dataset Distillation via Modeling Multiple Visual Pattern Distribution CVPR 2026 Balanced Hierarchical Contrastive Learning with Decoupled Queries for Fine-grained Object Detection in Remote Sensing Images CVPR 2026 BALM: A Model-Agnostic Framework for Balanced Multimodal Learning under Imbalanced Missing Rates CVPR 2026 BarbieGait: An Identity-Consistent Synthetic Human Dataset with Versatile Cloth-Changing for Gait Recognition CVPR 2026 Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation CVPR 2026 Bayesian Decomposition and Semantic Completion for Few-shot Semantic Segmentation CVPR 2026