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)

Downstream Trade-offs of a Family of Text Watermarks EMNLP 2024 Do You Remember the Future? Weak-to-Strong Generalization in 3D Object Detection IJCAI 2024 DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) AAAI 2024 DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection NeurIPS 2024 DP-NMT: Scalable Differentially Private Machine Translation EACL 2024 DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer ICLR 2024 DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training ICML 2024 DP-SGD Without Clipping: The Lipschitz Neural Network Way ICLR 2024 Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning CVPR 2024 Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity EMNLP 2024 DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation NeurIPS 2024 DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption ICLR 2024 DRF: Improving Certified Robustness via Distributional Robustness Framework AAAI 2024 Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data NeurIPS 2024 DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks NeurIPS 2024 DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024 DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation NeurIPS 2024 DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks NeurIPS 2024 Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation ICLR 2024 DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness ICLR 2024 Drug Overdose Vital-Signs Evaluator Using Machine Learning IJCAI 2024 DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information ACL 2024 DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? AAAI 2024 DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection ICML 2024 DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided Transformer CVPR 2024