New #TMLR-Paper-with-Video:

DOME: Distributed Online Learning based Multi-Estimate Fusion for Cooperative Predictive Target Trac...

Shubhankar Gupta, Saksham Sharma, Suresh Sundaram

https://tmlr.infinite-conf.org/paper_pages/aF5PHD6vll

#fusion #prediction #collaborative

New #TMLR-Paper-with-Video:

Lifelong Open-Ended Probability Predictors

Omid Madani

https://tmlr.infinite-conf.org/paper_pages/rojnGCcMaK

#streams #prediction #queue

New #TMLR-Paper-with-Video:

A New Kind of Network? Review and Reference Implementation of Neural Cellular Automata

Martin Spitznagel, Janis Keuper

https://tmlr.infinite-conf.org/paper_pages/NRwjj0ZLq0

#automata #cellular #networks

New #TMLR-Paper-with-Video:

Watermarking Degrades Alignment in Language Models: Analysis and Mitigation

Apurv Verma, Hai Phan, Shubhendu Trivedi

https://tmlr.infinite-conf.org/paper_pages/w2ATKQcfWx

#watermarking #watermark #watermarked

New #TMLR-Paper-with-Video:

E$^2$M: Double Bounded $\alpha$-Divergence Optimization for Tensor-based Discrete Density Estimation

Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup

https://tmlr.infinite-conf.org/paper_pages/954CjhXSXL

#tensor #divergence #optimization

New #TMLR-Paper-with-Video:

Variational Visual Question Answering for Uncertainty-Aware Selective Prediction

Tobias Jan Wieczorek, Nathalie Daun, Mohammad Emtiyaz Khan, Marcus Rohrbach

https://tmlr.infinite-conf.org/paper_pages/jtnMIbJIso

#variational #visual #multimodal

New #TMLR-Paper-with-Video:

On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generali...

Matteo Vilucchio, Nikolaos Tsilivis, Bruno Loureiro, Julia Kempe

https://tmlr.infinite-conf.org/paper_pages/vkmvuranbm

#adversarial #regularization

New #TMLR-Paper-with-Video:

Unlocking [CLS] Features for Continual Post-Training

Murat Onur Yildirim, Elif Ceren Gok Yildirim, Joaquin Vanschoren

https://tmlr.infinite-conf.org/paper_pages/OWfWyj6krc

#learning #forgetting #classifier

New #TMLR-Paper-with-Video:

Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models

Inés Gonzalez Pepe, Hiba Akhaddar, Tristan Glatard, Yohan Chatelain

https://tmlr.infinite-conf.org/paper_pages/0ogq232VGP

#pytorch #numerical #rounding

New #TMLR-Paper-with-Video:

Provably Efficient Reward Transfer in Reinforcement Learning with Discrete Markov Decision Processes

Kevin Jatin Vora, Yu Zhang

https://tmlr.infinite-conf.org/paper_pages/u2b31c9Noe

#reinforcement #reward #learning

New #TMLR-Paper-with-Video:

One-Bit Distributed Mean Estimation with Unknown Variance

Ritesh Kumar, Shashank Vatedka

https://tmlr.infinite-conf.org/paper_pages/g95C4zIEPg

#estimation #estimate #distributed

New #TMLR-Paper-with-Video:

Learning and Transferring Physical Models through Derivatives

Alessandro Trenta, Andrea Cossu, Davide Bacciu

https://tmlr.infinite-conf.org/paper_pages/IbBCDDeDF7

#learning #models #derivatives

New #TMLR-Paper-with-Video:

A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation

Xinjie Liu, Cyrus Neary, Kushagra Gupta et al.

https://tmlr.infinite-conf.org/paper_pages/zAo0L7Dcqt

#reinforcement #reinforce #trained

New #TMLR-Paper-with-Video:

Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers

M Yashwanth, Sharannya Ghosh, Aditay Tripathi, Anirban Chakraborty

https://tmlr.infinite-conf.org/paper_pages/gO1CpPRj6A

#prompts #prompt #contextualized

New #TMLR-Paper-with-Video:

Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks

Alexandros Doumanoglou, Kurt Driessens, Dimitrios Zarpalas

https://tmlr.infinite-conf.org/paper_pages/lIeyZpPEJn

#decoding #autoencoder #representations

New #TMLR-Paper-with-Video:

Multiscale Training of Convolutional Neural Networks

Shadab Ahamed, Niloufar Zakariaei, Eldad Haber, Moshe Eliasof

https://tmlr.infinite-conf.org/paper_pages/HTQuEZwEHw

#multiscale #cnn #cnns

New #TMLR-Paper-with-Video:

Gaga: Group Any Gausians via 3D-aware Memory Bank

Weijie Lyu, Xueting Li, Abhijit Kundu, Yi-Hsuan Tsai, Ming-Hsuan Yang

https://tmlr.infinite-conf.org/paper_pages/cC1TLyK3iW

#3d #gaga #scenes

New #TMLR-Paper-with-Video:

HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs

Tin Nguyen, Logan Bolton, Mohammad Reza Taesiri, Trung Bui, Anh Totti Nguyen

https://tmlr.infinite-conf.org/paper_pages/abm6pDTbT1

#prompting #supervised #reasoning

New #TMLR-Paper-with-Video:

ECLipsE-Gen-Local: Efficient Compositional Local Lipschitz Estimates for Deep Neural Networks

Yuezhu Xu, S Sivaranjani

https://tmlr.infinite-conf.org/paper_pages/CuqnFjeu5a

#neural #networks #lipschitz

New #TMLR-Paper-with-Video:

$\texttt{SEM-CTRL}$: Semantically Controlled Decoding

Mohammad Albinhassan, Pranava Madhyastha, Alessandra Russo

https://tmlr.infinite-conf.org/paper_pages/ICUHKhOISN

#parsing #semantics #semantic