conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

'15

'20

'25

Papers (including subtopics)

CountGD++: Generalized Prompting for Open-World Counting CVPR 2026 CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones WACV 2026 Coupled Diffusion Sampling for Training-Free Multi-View Image Editing CVPR 2026 CoV-Align: Efficient Fine-grained Cross-Modal Alignment with Cohesive Visual Semantics Priority CVPR 2026 CoVFT: Context-aware Visual Fine-tuning for Multimodal Large Language Models CVPR 2026 CPR-RAG: Clinical Prior-Regularized Retrieval for Anatomy-Aware 3D CT Report Generation ACL 2026 CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think CVPR 2026 CRAFT-LoRA: Content-Style Personalization via Rank-Constrained Adaptation and Training-Free Fusion CVPR 2026 CredenceAI at SemEval-2026 Task 10: A Span-Consistency Network with Cross-Marker Attention for Conspiracy Marker Extraction SemEval 2026 CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit ACL 2026 CRFT: Consistent-Recurrent Feature Flow Transformer for Cross-Modal Image Registration CVPR 2026 CRISP: Persistent Concept Unlearning via Sparse Autoencoders ACL 2026 Critical Patch-Aware Sparse Prompting with Decoupled Training for Continual Learning on the Edge CVPR 2026 CRL-Prompt: Contrastive and Reinforcement Learning for Soft Prompt Tuning for Text Classification ACL 2026 Cross-Architecture Adaptation: Cloud-Edge Continual Test-Time Adaptation with Dynamic Sampling and Heterogeneous Distillation CVPR 2026 Cross-domain Dual-stream Feature Disentanglement for Brain Disorder Prediction with Sparsely Labeled PET CVPR 2026 Cross-Domain Few-Shot Segmentation via Multi-view Progressive Adaptation CVPR 2026 CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation CVPR 2026 CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction MIDL 2026 Cross-Hand Latent Representation for Vision-Language-Action Models CVPR 2026 Crossing the Reward Bridge: Expanding Reinforcement Learning with Verifiable Rewards Across Diverse Domains ACL 2026 Cross-Modal Emotion Transfer for Emotion Editing in Talking Face Video CVPR 2026 Cross-Modal Event Encoder: Bridging Image-Text Knowledge to Event Streams WACV 2026 Cross-Modal Guided Visual Synthesis for Data-Efficient Multimodal Depression Recognition CVPR 2026 Cross-modal Identity Mapping: Minimizing Information Loss in Modality Conversion via Reinforcement Learning CVPR 2026