conftrace_

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)

DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows ACL 2024 Data Drift in Clinical Outcome Prediction from Admission Notes COLING 2024 Data Driven Approach for Mathematical Problem Solving COLING 2024 Data-driven simulator for mechanical circulatory support with domain adversarial neural process L4DC 2024 Data-Driven Structural Fire Risk Prediction for City Properties AAAI 2024 Data-efficient Large Vision Models through Sequential Autoregression ICML 2024 Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond ICML 2024 Data-Efficient Multimodal Fusion on a Single GPU CVPR 2024 DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models AAAI 2024 Data Engineering for Scaling Language Models to 128K Context ICML 2024 Data-Envelopes for Cultural Heritage: Going beyond Datasheets COLING 2024 Data Filtering Networks ICLR 2024 Data-free Distillation of Diffusion Models with Bootstrapping ICML 2024 Data-Free Generalized Zero-Shot Learning AAAI 2024 Data-Free Hard-Label Robustness Stealing Attack AAAI 2024 Data-free Neural Representation Compression with Riemannian Neural Dynamics ICML 2024 Data-Free Quantization via Pseudo-label Filtering CVPR 2024 Data-independent Module-aware Pruning for Hierarchical Vision Transformers ICLR 2024 DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models ICLR 2024 Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks COLING 2024 Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NeurIPS 2024 Data Ownership and Privacy in Personalized AI Models in Assistive Healthcare IJCAI 2024 Data Poisoning based Backdoor Attacks to Contrastive Learning CVPR 2024 Data Poisoning Quantization Backdoor Attack ECCV 2024 Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum NeurIPS 2024