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Workshop
SPRINT: Scalable Semantic Policy Pre-training via Language Instruction Relabeling
Jesse Zhang · Karl Pertsch · Jiahui Zhang · Taewook Nam · Sung Ju Hwang · Xiang Ren · Joseph Lim
Workshop
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis
Zifan Liu · Evan Rosen · Paul Suganthan
Workshop
Fri 9:00 SEIFER: Scalable Edge Inference for Deep Neural Networks
Arjun Parthasarathy · Bhaskar Krishnamachari
Workshop
Scalable Spatiotemporal Graph Neural Networks
Andrea Cini · Ivan Marisca · Filippo Maria Bianchi · Cesare Alippi
Workshop
The (Un)Scalability of Heuristic Approximators for NP-Hard Search Problems
Sumedh Dattaguru Pendurkar · Taoan Huang · Sven Koenig · Guni Sharon
Workshop
pyGSL: A Graph Structure Learning Toolkit
Max Wasserman · Gonzalo Mateos
Workshop
Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization
Killian Wood · Alec Dunton · Amanda Muyskens · Benjamin Priest
Workshop
A Scalable Technique for Weak-Supervised Learning with Domain Constraints
Sudhir Agarwal · Anu Sreepathy · Lalla M
Workshop
Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables
Juan Emmanuel Johnson · Redouane Lguensat · ronan fablet · Emmanuel Cosme · Julien Le Sommer
Workshop
PhAST: Physics-Aware, Scalable, and Task-specific GNNs for accelerated catalyst design
ALEXANDRE DUVAL · Victor Schmidt · Alex Hernandez-Garcia · Santiago Miret · Yoshua Bengio · David Rolnick
Workshop
HesScale: Scalable Computation of Hessian Diagonals
Mohamed Elsayed · Rupam Mahmood
Workshop
Scalable Vector Representation for Topological Data Analysis Based Classification
Tananun Songdechakraiwut · Bryan Krause · Matthew Banks · Kirill Nourski · Barry Van Veen