"generative tasks" Papers
10 papers found
Conference
Compress & Cache: Vision token compression for efficient generation and retrieval
Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos
NEURIPS 2025
Generative Representational Instruction Tuning
Niklas Muennighoff, Hongjin SU, Liang Wang et al.
ICLR 2025arXiv:2402.09906
222
citations
Improved Diffusion-based Generative Model with Better Adversarial Robustness
Zekun Wang, Mingyang Yi, Shuchen Xue et al.
ICLR 2025arXiv:2502.17099
1
citations
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
Xuan Shen, Zhao Song, Yufa Zhou et al.
AAAI 2025paperarXiv:2412.12444
38
citations
Multi-Token Prediction Needs Registers
Anastasios Gerontopoulos, Spyridon Gidaris, Nikos Komodakis
NEURIPS 2025arXiv:2505.10518
4
citations
Self Iterative Label Refinement via Robust Unlabeled Learning
Hikaru Asano, Tadashi Kozuno, Yukino Baba
NEURIPS 2025arXiv:2502.12565
1
citations
Emu Edit: Precise Image Editing via Recognition and Generation Tasks
Shelly Sheynin, Adam Polyak, Uriel Singer et al.
CVPR 2024highlightarXiv:2311.10089
250
citations
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models
Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu et al.
ICLR 2024arXiv:2311.06792
22
citations
Neural Diffusion Models
Grigory Bartosh, Dmitry Vetrov, Christian Andersson Naesseth
ICML 2024arXiv:2310.08337
16
citations
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
Mahdi Nikdan, Soroush Tabesh, Elvir Crnčević et al.
ICML 2024arXiv:2401.04679
48
citations