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
'10
'15
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'25
Papers (including subtopics)
Evaluating the Effect of Retrieval Augmentation on Social Biases
EACL 2026
Event-Guided Super-Resolving Blurry Image via Asymmetric Integral Driven Consistency
AAAI 2026
Every Little Bit Helps: Exploring Better Utilization of Unlabeled Data for Semi-supervised Singing Melody Extraction Using Multi-bands Diffusion Model
AAAI 2026
EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models
WACV 2026
Experience with Single Domain Generalization in Real World Medical Imaging Deployments
AAAI 2026
Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services
AAAI 2026
Explaining Generalization of AI-Generated Text Detectors Through Linguistic Analysis
EACL 2026
Explicit Intent-Enhanced Knowledge Distillation for Trip Recommendation
AAAI 2026
Exploiting Graph-Based Structural Priors for Visual Recognition
AAAI 2026
Exploiting Inter-Session Information with Frequency-enhanced Dual-Path Networks for Sequential Recommendation
AAAI 2026
Exploiting Pre-trained Language Model for Cross-city Urban Flow Prediction Guided by Information-theoretic Analysis
AAAI 2026
Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training
AAAI 2026
Explore How to Inject Beneficial Noise in MLLMs
AAAI 2026
Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning
ACL 2026
Exploring Cross-Lingual Voice Conversion Methods for Anonymizing Low-Resource Text-to-Speech
EACL 2026
Exploring Domain Generalization and Subpopulation Shift for Generalizable Graph-Level Anomaly Detection
AAAI 2026
Exploring Efficient Open-Vocabulary Segmentation in the Remote Sensing
AAAI 2026
Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language Models
EACL 2026
Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question Answering
EACL 2026
Exploring Iterative Controllable Summarization with Large Language Models
EACL 2026
Exploring the Janus Face of Synthetic Images: From Privacy-secure Biometrics to Universal and Robust Deepfake Detection
AAAI 2026
Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation
AAAI 2026
ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document Images
EACL 2026
Extending ASR Evaluation Resources for Modern Greek Dialects
EACL 2026
Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge
AAAI 2026