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
'20
'25
Papers (including subtopics)
Towards Efficient and Robust Manipulation via Multi-Frame Vision-Language-Action Modeling
AAAI 2026
Towards Egocentric 3D Hand Pose Estimation in Unseen Domains
WACV 2026
Towards Fair and Efficient De-identification: Quantifying the Efficiency and Generalizability of De-identification Approaches
EACL 2026
Towards Fairness in Transportation Gig Markets: Identifying, Imitating, and Mitigating Algorithm Discrimination via Deep Reinforcement Learning
AAAI 2026
Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework
AAAI 2026
Towards High Resolution Probabilistic Coastal Inundation Forecasting from Sparse Observations
AAAI 2026
Towards Long-window Anchoring in Vision-Language Model Distillation
AAAI 2026
Towards Offline Imitation Learning: Strictly Batch Settings, Generalization, and Variability in Expertise
AAAI 2026
Towards Performance Robustness for Microservices
NSDI 2026
Towards Privacy-Protected Generalized Gaze Estimation Using Diffusion Models and Domain Stability Adaptation Framework
AAAI 2026
Towards Provably Secure and Highly Robust Generative Image Steganography Leveraging Latent Diffusion Model
AAAI 2026
Towards Provably Unlearnable Examples via Bayes Error Optimization
AAAI 2026
Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood
WACV 2026
Towards Robust, Reliable, and Generalized Medical AI
AAAI 2026
Towards Sparse Video Understanding and Reasoning
CVPR 2026
Towards Synthesizing High-Dimensional Tabular Data with Limited Samples
AAAI 2026
Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution
AAAI 2026
Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs
AAAI 2026
Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs
AAAI 2026
ToxiGAN: Toxic Data Augmentation via LLM-Guided Directional Adversarial Generation
EACL 2026
Training and Inference Within 1 Second – Tackle Cross-Sensor Degradation of Real-World Pansharpening with Efficient Residual Feature Tailoring
AAAI 2026
Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformers
AAAI 2026
Transferring Causal Driving Patterns for Generalizable Traffic Simulation with Diffusion-Based Distillation
AAAI 2026
Transform-Free Feature Coding via Entropy-Constrained Vector Quantization
AAAI 2026
TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models
AAAI 2026