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ICLR

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2024

ReMatching Dynamic Reconstruction Flow

Sara Oblak, Despoina Paschalidou, Sanja Fidler, Matan Atzmon

ICLR

FasterViT: Fast Vision Transformers with Hierarchical Attention

Ali Hatamizadeh, Greg Heinrich, Hongxu Danny Yin, Andrew Tao, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov

ICLR

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space

Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis

ICLR

Large Language Models are Efficient Learners of Noise-Robust Speech Recognition

YuChen Hu, Chen Chen, Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, EnSiong Chng

ICLR

It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition

Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Ensiong Chng, Huck Yang

ICLR

2023

Graph Metanetworks for Processing Diverse Neural Architectures

Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas

ICLR

GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation

Chenhongyi Yang, Jiarui Xu, Shalini De Mello, Elliot J. Crowley, Xiaolong Wang

ICLR

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Robust and Controllable Object-Centric Learning through Energy-based Models

Ruixiang Zhang, Gerry Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull

ICLR