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)
Anastasia at SemEval-2025 Task 9: Subtask 1, Ensemble Learning with Data Augmentation and Focal Loss for Food Risk Classification.
SemEval 2025
Anatomical Consistency and Adaptive Prior-informed Transformation for Multi-contrast MR Image Synthesis via Diffusion Model
CVPR 2025
Anatomy of a Feeling: Narrating Embodied Emotions via Large Vision-Language Models
EMNLP 2025
An Auditing Test to Detect Behavioral Shift in Language Models
ICLR 2025
An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
ICML 2025
AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity
EMNLP 2025
Anchor Learning with Potential Cluster Constraints for Multi-view Clustering
AAAI 2025
An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling
ACL 2025
An Effective Manifold-based Optimization Method for Distributionally Robust Classification
ICLR 2025
An Effective Theory of Bias Amplification
ICLR 2025
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing
AAAI 2025
An Efficient Framework for Crediting Data Contributors of Diffusion Models
ICLR 2025
An Efficient Hybrid Vision Transformer for TinyML Applications
ICCV 2025
An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks
ICML 2025
An Efficient Private GPT Never Autoregressively Decodes
ICML 2025
An Efficient Pruner for Large Language Model with Theoretical Guarantee
ICML 2025
An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuning
NAACL 2025
An Empirical Analysis of Uncertainty in Large Language Model Evaluations
ICLR 2025
An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4
ACL 2025
An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint
EMNLP 2025
An empirical study of validating synthetic data for formula generation
NAACL 2025
An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation
EMNLP 2025
An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency
AAAI 2025
A New Benchmark and Baseline for Real-Time High-Resolution Image Inpainting on Edge Devices
WACV 2025
A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning
ICML 2025