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)

Multi-level Causal LLM-based Text-to-Motion Generation with Human Alignment CVPR 2026 Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning MIDL 2026 Multimodal Continual Instruction Tuning with Dynamic Gradient Guidance CVPR 2026 Multimodal Distribution Matching for Vision-Language Dataset Distillation CVPR 2026 Multi-modal Frequency Decomposition Network for Semantic Scene Completion CVPR 2026 Multi-Modal Image Fusion via Intervention-Stable Feature Learning CVPR 2026 Multimodal Learning on Low-Quality Data with Conformal Predictive Self-Calibration CVPR 2026 MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning CVPR 2026 Multimodal Protein Language Models for Enzyme Kinetic Parameters: From Substrate Recognition to Conformational Adaptation CVPR 2026 Multimodal Semantic Bias Mitigation for Diverse Text-To-3D Generation CVPR 2026 Multi-Modal Soccer Scene Analysis with Masked Pre-Training WACV 2026 Multi-modal Test-time Adaptation via Adaptive Probabilistic Gaussian Calibration CVPR 2026 Multi-Prototype Compactness and Boundary-Aware Synthesis for Unsupervised Anomaly Detection CVPR 2026 Multi-Scale Local Speculative Decoding for Image Generation CVPR 2026 MultiShotMaster: A Controllable Multi-Shot Video Generation Framework CVPR 2026 Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge ACL 2026 Multi-View Attention Multiple-Instance Learning Enhanced by LLM Reasoning for Cognitive Distortion Detection ACL 2026 Multi-View Hierarchical Alignment Learning for Spatial Transcriptomics CVPR 2026 MuM: Multi-View Masked Image Modeling for 3D Vision CVPR 2026 MuseDance: A Diffusion-based Music-Driven Image Animation System WACV 2026 MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding ACL 2026 MUSE: Harnessing Precise and Diverse Semantics for Few-Shot Whole Slide Image Classification CVPR 2026 MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification AAAI 2026 MuSe: Multi-Stage Graph Reasoning via Vision-Language Models ACL 2026 MuxTune: Efficient Multi-Task LLM Fine-Tuning in Multi-Tenant Datacenters via Spatial-Temporal Backbone Multiplexing NSDI 2026