firstbacksecondback
1200 Results
|
Poster
|
Tue 15:15 |
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models George Stein · Jesse Cresswell · Rasa Hosseinzadeh · Yi Sui · Brendan Ross · Valentin Villecroze · Zhaoyan Liu · Anthony Caterini · Eric Taylor · Gabriel Loaiza-Ganem |
|
|
Poster
|
Tue 8:45 |
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics Alexander Shmakov · Kevin Greif · Michael Fenton · Aishik Ghosh · Pierre Baldi · Daniel Whiteson |
|
|
Workshop
|
ACLTuner: A Profiling-Driven Fast Tuning to Optimized Deep Learning Inference Yongin Kwon · Joo Hyoung Cha · Jubin Lee · Misun Yu · Jeman Park · Jemin Lee |
||
|
Poster
|
Tue 15:15 |
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models Ying Fan · Olivia Watkins · Yuqing Du · Yuqing Du · Hao Liu · Moonkyung Ryu · Craig Boutilier · Pieter Abbeel · Mohammad Ghavamzadeh · Kangwook Lee · Kimin Lee |
|
|
Poster
|
Tue 15:15 |
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization Jeonghoon Kim · Jung Hyun Lee · Sungdong Kim · Joonsuk Park · Kang Min Yoo · Se Jung Kwon · Dongsoo Lee |
|
|
Poster
|
Wed 15:00 |
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks Seokil Ham · Jungwuk Park · Dong-Jun Han · Jaekyun Moon |
|
|
Poster
|
Wed 8:45 |
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces Josephine Lamp · Mark Derdzinski · Christopher Hannemann · Joost van der Linden · Lu Feng · Tianhao Wang · David Evans |
|
|
Workshop
|
Sat 9:49 |
Efficient Parallelization Layouts for Large-Scale Distributed Model Training Johannes Hagemann · Samuel Weinbach · Konstantin Dobler · Maximilian Schall · Gerard de Melo |
|
|
Poster
|
Wed 15:00 |
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery Yuxin Wen · Neel Jain · John Kirchenbauer · Micah Goldblum · Jonas Geiping · Tom Goldstein |
|
|
Poster
|
Tue 15:15 |
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs Lijun Yu · Yong Cheng · Zhiruo Wang · Vivek Kumar · Wolfgang Macherey · Yanping Huang · David Ross · Irfan Essa · Yonatan Bisk · Ming-Hsuan Yang · Kevin Murphy · Alexander Hauptmann · Lu Jiang · Lu Jiang |
|
|
Workshop
|
Multi-modal Foundation Model for Material Design Seiji Takeda · Indra Priyadarsini S · Akihiro Kishimoto · Hajime Shinohara · Lisa Hamada · Hirose Masataka · Junta Fuchiwaki · Daiju Nakano |
||
|
Workshop
|
VN-EGNN: Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification Florian Sestak · Lisa Schneckenreiter · Sepp Hochreiter · Andreas Mayr · Günter Klambauer |