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 Poisoning Fair Representations
ICLR 2024
Towards Practical Non-Adversarial Distribution Matching
AISTATS 2024
Towards Precise Localization of Critical Errors in Machine Translation
ACL 2024
Towards Privacy-Aware Sign Language Translation at Scale
ACL 2024
Towards quantifying politicization in foreign aid project reports
COLING 2024
Towards Realistic Model Selection for Semi-supervised Learning
ICML 2024
Towards Realistic Scene Generation with LiDAR Diffusion Models
CVPR 2024
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization
AAAI 2024
Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features
ICLR 2024
Towards Reliable Learning in the Wild: Generalization and Adaptation
AAAI 2024
Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
NeurIPS 2024
Towards Reproducible, Automated, and Scalable Anomaly Detection
AAAI 2024
Towards Revolutionized Smart Grids: An AI-Driven Broker for Improved Operational Efficiency
IJCAI 2024
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
ICLR 2024
Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning
ACL 2024
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations
EMNLP 2024
Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology
EMNLP 2024
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
ICLR 2024
Towards Robustness to Natural Variations and Distribution Shift (Student Abstract)
AAAI 2024
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
IJCAI 2024
Towards Scalable and Stable Parallelization of Nonlinear RNNs
NeurIPS 2024
Towards Scalable Remote Assessment of Mild Cognitive Impairment Via Multimodal Dialog
Interspeech 2024
Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
ICLR 2024
Towards Speech-to-Pictograms Translation
Interspeech 2024
Towards Stable Representations for Protein Interface Prediction
NeurIPS 2024