Asia
T APTRv2: Attention-based Position Update Improves Tracking Any Point Hongyang Li1,2 Hao Zhang
Thus most methods are not general and have to be fine-tuned for each video.
MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings Laxman Dhulipala Google Research and UMD Majid Hadian Google DeepMind Rajesh Jayaram
Neural embedding models have become a fundamental component of modern information retrieval (IR) pipelines.
Responsible AI (RAI) Games and Ensembles
In this work, we provide a general framework for studying these problems, which we refer to as Responsible AI (RAI) games .
An Information Theoretic Perspective on Conformal Prediction
More precisely, we prove three different ways to upper bound the intrinsic uncertainty, as described by the conditional entropy of the target variable given the inputs, by combining CP with information theoretical inequalities.
Bicriteria Approximation Algorithms for the Submodular Cover Problem
Third, we are the first to consider regularized monotone SCP (RMSCP).
Bicriteria Approximation Algorithms for the Submodular Cover Problem
Third, we are the first to consider regularized monotone SCP (RMSCP).
HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation
Implicit Neural Representations (INRs) have previously been used to represent and compress image and video content, demonstrating relatively high decoding speed compared to other methods.
Supplementary material
Results are shown for two runtime limits, 2 min and 20 min. Entries are marked with '-' if the solution