Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation Paper • 2411.14384 • Published Nov 21, 2024 • 9
LLaVolta: Efficient Multi-modal Models via Stage-wise Visual Context Compression Paper • 2406.20092 • Published Jun 28, 2024
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models Paper • 2310.00840 • Published Oct 2, 2023
Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models Paper • 2408.06663 • Published Aug 13, 2024 • 16
The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks Paper • 2310.17514 • Published Oct 26, 2023
I Bet You Did Not Mean That: Testing Semantic Importance via Betting Paper • 2405.19146 • Published May 29, 2024
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion Paper • 2403.16365 • Published Mar 25, 2024 • 1
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks Paper • 2310.19909 • Published Oct 30, 2023 • 20
Mutual Adversarial Training: Learning together is better than going alone Paper • 2112.05005 • Published Dec 9, 2021 • 1
Running 📚 The Power and Promise of Data Science and AI: Johns Hopkins University’s Transformational Investment
Mutual Adversarial Training: Learning together is better than going alone Paper • 2112.05005 • Published Dec 9, 2021 • 1
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control Paper • 2302.03791 • Published Feb 7, 2023
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation Paper • 2112.02721 • Published Dec 6, 2021
AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders Paper • 2211.09120 • Published Nov 16, 2022