Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
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'25
Papers (including subtopics)
MoE^2: A Mixture-of-Mixtures of Experts for Ensemble-Free Domain Generalization
AAAI 2026
MoEG-HOI: Mixture of Expert Groups for One-Stage Hand-Object Interaction Motion Generation with Hand-Finger-Joint Semantic Guidance
AAAI 2026
MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation
AAAI 2026
MolSight: Optical Chemical Structure Recognition with SMILES Pretraining, Multi-Granularity Learning and Reinforcement Learning
AAAI 2026
MomentMix Augmentation with Length-Aware DETR for Temporally Robust Moment Retrieval
WACV 2026
Morphing Through Time: Diffusion-Based Bridging of Temporal Gaps for Robust Alignment in Change Detection
WACV 2026
MorphXAI: An Explainable Framework for Morphological Analysis of Parasites in Blood Smear Images
WACV 2026
MOSAIC: Masked Objective with Selective Adaptation for In-domain Contrastive Learning
EACL 2026
Mosaic Pruning: A Hierarchical Framework for Generalizable Pruning of Mixture-of-Experts Models
AAAI 2026
MoSCo: Real-time and Efficient Text-to-Motion Synthesis via Delta Training
WACV 2026
MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings
AAAI 2026
Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models (Abstract Reprint)
AAAI 2026
Motivating Next-Gen Accelerators with Flexible N:M Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches
ACL 2026
MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning
AAAI 2026
MR-COSMO: Visual-Text Memory Recall and Direct CrOSs-MOdal Alignment Method for Query-Driven 3D Segmentation
AAAI 2026
MRGeo: Robust Cross-View Geo-Localization of Corrupted Images via Spatial and Channel Feature Enhancement
AAAI 2026
MrM: Black-Box Membership Inference Attacks Against Multimodal RAG Systems
AAAI 2026
MR-Pruner: Training-free Multi-resolution Visual Token Pruning for Multi-modal Large Language Models
WACV 2026
MRT: Learning Compact Representations with Mixed RWKV-Transformer for Extreme Image Compression
AAAI 2026
MSAT-LDM: Toward Transferable High-Fidelity Watermarking for Latent Diffusion Model via Modular Self-Augmented Training
AAAI 2026
MSCFL: Model Structure-Aware Clustered Federated Learning for System Heterogeneity and Data Drift
AAAI 2026
MTA:A Merge-then-Adapt Framework for Personalized Large Language Models
ACL 2026
MTAttack: Multi-Target Backdoor Attacks Against Large Vision-Language Models
AAAI 2026
MTQE.en-he: Machine Translation Quality Estimation for English-Hebrew
EACL 2026
MultiCW: A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness Detection Models
EACL 2026