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)

SOTA: Self-adaptive Optimal Transport for Zero-Shot Classification with Multiple Foundation Models CVPR 2026 SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility ACL 2026 Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models CVPR 2026 Sparse Spectral LoRA: Routed Experts for Medical VLMs CVPR 2026 SPAR: Single-Pass Any-Resolution ViT for Open-vocabulary Segmentation CVPR 2026 Sparsity as a Key: Unlocking New Insights from Latent Structures for Out-of-Distribution Detection CVPR 2026 Spatial-Frequency Collaborative Learning for Occluded Visible-Infrared Person Re-Identification CVPR 2026 SpatialReward: Verifiable Spatial Reward Modeling for Fine-Grained Spatial Consistency in Text-to-Image Generation CVPR 2026 Spatial-SAM: Spatially Consistent 3D Electron Microscopy Segmentation with SDF Memory and Semi-Supervised Learning CVPR 2026 Spatio-Temporal Conditional Denoising Transformer for Modality-Missing RGBT Tracking CVPR 2026 Specificity-aware reinforcement learning for fine-grained open-world classification CVPR 2026 Spec-o3: A Tool-Augmented Vision-Language Agent for Rare Celestial Object Candidate Vetting via Automated Spectral Inspection ACL 2026 Spectral Disentanglement: Rank-Aware Task Adaptation for Rehearsal-free Continual Learning in LLMs ACL 2026 Spectrally Distilled Representations Aligned with Instruction-Augmented LLMs for Satellite Imagery CVPR 2026 Spectral Mixture-of-Experts for Continual Learning CVPR 2026 Spectral Scalpel: Amplifying Adjacent Action Discrepancy via Frequency-Selective Filtering for Skeleton-Based Action Segmentation CVPR 2026 Spectral Super-Resolution via Adversarial Unfolding and Data-Driven Spectrum Regularization: From Multispectral Satellite Data to NASA Hyperspectral Image CVPR 2026 SPEGC: Continual Test-Time Adaptation via Semantic-Prompt-Enhanced Graph Clustering for Medical Image Segmentation CVPR 2026 SpidR-Adapt: A Universal Speech Representation Model for Few-Shot Adaptation ACL 2026 SpiralDiff: Spiral Diffusion with LoRA for RGB-to-RAW Conversion Across Cameras CVPR 2026 SplitFlux: Learning to Decouple Content and Style from a Single Image CVPR 2026 SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks ACL 2026 SpyComet at SemEval-2026 Task 11: When Adversarial Debiasing Backfires - A Comparison of Data-Level and Model-Level Debiasing SemEval 2026 SQL-Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to-SQL ACL 2026 SRCB at SemEval-2026 Task 3: Boosting DimASR via Contrastive LLM-Based Data Augmentation SemEval 2026