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Poster
Fri 11:00 Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec
Jun-Hyuk Kim · Seungeon Kim · Won-Hee Lee · Dokwan Oh
Poster
Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images
Shengjun Zhang · Xin Fei · Fangfu Liu · Haixu Song · Yueqi Duan
Poster
Thu 16:30 Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning
Arijit Sehanobish · Kumar Avinava Dubey · Krzysztof M Choromanski · Somnath Basu Roy Chowdhury · Deepali Jain · Vikas Sindhwani · Snigdha Chaturvedi
Workshop
Efficient Model Compression Techniques with FishLeg
Jamie McGowan · Wei Sheng Lai · Weibin Chen · Henry Aldridge · Jools Clarke · Jezabel Garcia · Rui Xia · Yilei Liang · Guillaume Hennequin · Alberto Bernacchia
Workshop
Pruning-based Data Selection and Network Fusion for Efficient Deep Learning
Humaira Kousar · Hasnain Irshad Bhatti · Jaekyun Moon
Workshop
Efficient Fine-Tuning of Behavior Cloned Policies with Reinforcement Learning from Limited Demonstrations
Samyeul Noh · Seonghyun Kim · Ingook Jang
Poster
Fri 11:00 NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks
Bernardo Esteves · Miguel Vasco · Francisco S. Melo
Workshop
Sun 16:55 A Graph-Based Foundation Model for Sample-Efficient Adaptive Learning
Jean Vassoyan · Anan Schütt · Jill-Jênn Vie · Arun Balajiee Lekshmi Narayanan · Elisabeth Andre · Nicolas Vayatis
Poster
Fri 16:30 Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
Josh McClellan · Naveed Haghani · John Winder · Furong Huang · Pratap Tokekar
Workshop
Prioritizing Compression Explains Human Perceptual Preferences
Francisco López · Bertram Shi · Jochen Triesch
Workshop
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
Henry Moss · Victor Picheny · Hrvoje Stojic · Sebastian Ober · Artem Artemev · Andrei Paleyes · Sattar Vakili · Stratis Markou · Jixiang Qing · Nasrulloh Loka · Ivo Couckuyt
Workshop
Approximate Top-k for Increased Parallelism
Oscar Key · Luka Ribar · Alberto Cattaneo · Luke Hudlass-Galley · Douglas Orr