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)

Dynamic Magic: Unleashing Restricted Knowledge for Lifelong Person Re-Identification CVPR 2026 Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation ACL 2026 DynamicsBoost: Dynamic Plausible Video Generation via Annotation-Free Continuation Preference Optimization CVPR 2026 Dynamics: Language-Based Representation for Inferring Rigid-Body Dynamics From Videos CVPR 2026 EagleNet: Energy-Aware Fine-Grained Relationship Learning Network for Text-Video Retrieval CVPR 2026 EagleVision: A Dual-Stage Framework with BEV-grounding-based Chain-of-Thought for Spatial Intelligence CVPR 2026 Easy2Hard: From Partially to Fully Unmatched Modalities as Negative Samples in Contrastive Learning CVPR 2026 EasyOmnimatte: Taming Pretrained Inpainting Diffusion Models for End-to-End Video Layered Decompositio CVPR 2026 EasyV2V: A High-quality Instruction-based Video Editing Framework CVPR 2026 EchoFoley: Event-Centric Hierarchical Control for Video Grounded Creative Sound Generation CVPR 2026 ECO: Energy-Constrained Operator Learning for Chaotic Dynamics with Boundedness Guarantees L4DC 2026 E-comIQ-ZH: A Human-Aligned Dataset and Benchmark for Fine-Grained Evaluation of E-commerce Posters with Chain-of-Thought CVPR 2026 EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving ACL 2026 ECT-3DMedSAM: Efficient Cross Teaching Using Segment Anything Model for Semi-Supervised 3D Medical Image Segmentation MIDL 2026 Edge-Focused Super-Resolution for Omnidirectional Images with Spherical Geometric Augmentation CVPR 2026 Edge-RecViT: Efficient Vision Transformer via Semantic-Refined Dynamic Recursion CVPR 2026 Edges Compete for Trust: Group Relative Edge Optimization for Building Reconstruction from Point Clouds CVPR 2026 Edit-aware RAW reconstruction CVPR 2026 Edit-Aware Reward Modeling for Chinese Grammatical Error Correction ACL 2026 Editprint: General Digital Image Forensics via Editing Fingerprint with Self-Augmentation Training CVPR 2026 EDSD: Entropy-Driven Design for Faster Speculative Decoding ACL 2026 EEGiT: Teaching Vision Transformers to Understand the EEG signal CVPR 2026 Efficient Learned Data Compression via Dual-Stream Feature Decoupling ACL 2026 Efficiently Learning To Reason or Not to Reason: Root-token Policy Optimization for Adaptive Thinking ACL 2026 Efficient Paths and Dense Rewards: Probabilistic Flow Reasoning for Large Language Models ACL 2026