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TMLR Submissions
A Simulation Environment and Reinforcement Learning Method for Waste Reduction
Sami Jullien
,
Mozhdeh Ariannezhad
,
Paul Groth
,
Maarten de Rijke
Published: 01 May 2023, Last Modified: 17 Sept 2024
Accepted by TMLR
Readers:
Everyone
Learning to Incentivize Improvements from Strategic Agents
Yatong Chen
,
Jialu Wang
,
Yang Liu
Published: 10 Jun 2023, Last Modified: 17 Sept 2024
Accepted by TMLR
Readers:
Everyone
Data Distillation: A Survey
Noveen Sachdeva
,
Julian McAuley
Published: 22 Jul 2023, Last Modified: 17 Sept 2024
Accepted by TMLR
Readers:
Everyone
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions
Ido Ben-Shaul
,
Tomer Galanti
,
Shai Dekel
Published: 06 Jun 2023, Last Modified: 17 Sept 2024
Accepted by TMLR
Readers:
Everyone
Supervised Knowledge May Hurt Novel Class Discovery Performance
ZIYUN LI
,
Jona Otholt
,
Ben Dai
,
Di Hu
,
Christoph Meinel
,
Haojin Yang
Published: 01 Jul 2023, Last Modified: 17 Sept 2024
Accepted by TMLR
Readers:
Everyone
Improving Molecular Pretraining with Collaborative Featurizations
TMLR Paper764 Authors
10 Jan 2023 (modified: 17 Sept 2024)
Rejected by TMLR
Readers:
Everyone
Limitations of Neural Collapse for Understanding Generalization in Deep Learning
TMLR Paper763 Authors
10 Jan 2023 (modified: 17 Sept 2024)
Rejected by TMLR
Readers:
Everyone
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction
TMLR Paper762 Authors
09 Jan 2023 (modified: 17 Sept 2024)
Rejected by TMLR
Readers:
Everyone
Federated High-Dimensional Online Decision Making
Chi-Hua Wang
,
Wenjie Li
,
Guang Lin
Published: 15 Aug 2023, Last Modified: 17 Sept 2024
Accepted by TMLR
Readers:
Everyone
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge A Mendez
,
ERIC EATON
Published: 05 Jun 2023, Last Modified: 17 Sept 2024
Accepted by TMLR
Readers:
Everyone
Balanced k-Means Revisited
Pasi Fränti
,
Rieke de Maeyer
09 Jan 2023 (modified: 17 Sept 2024)
Rejected by TMLR
Readers:
Everyone
Neural Collapse: A Review on Modelling Principles and Generalization
Vignesh Kothapalli
Published: 10 Apr 2023, Last Modified: 17 Sept 2024
Accepted by TMLR
Readers:
Everyone
Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning
Florian Bordes
,
Randall Balestriero
,
Quentin Garrido
,
Adrien Bardes
,
Pascal Vincent
Published: 24 May 2023, Last Modified: 17 Sept 2024
Accepted by TMLR
Readers:
Everyone
Federated Learning with Heterogeneous Differential Privacy
TMLR Paper756 Authors
06 Jan 2023 (modified: 17 Sept 2024)
Withdrawn by Authors
Readers:
Everyone
Learning Causal Discovery
TMLR Paper755 Authors
06 Jan 2023 (modified: 17 Sept 2024)
Rejected by TMLR
Readers:
Everyone
Representation Ensembling for Synergistic Lifelong Learning with Quasilinear Complexity
TMLR Paper754 Authors
06 Jan 2023 (modified: 17 Sept 2024)
Rejected by TMLR
Readers:
Everyone
On the Statistical Complexity of Estimation and Testing under Privacy Constraints
Clément Lalanne
,
Aurélien Garivier
,
Rémi Gribonval
Published: 28 Apr 2023, Last Modified: 17 Sept 2024
Accepted by TMLR
Readers:
Everyone
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning
TMLR Paper752 Authors
05 Jan 2023 (modified: 17 Sept 2024)
Rejected by TMLR
Readers:
Everyone
Probabilistic Riemannian Functional Map Synchronization for 3D Shape Correspondence
TMLR Paper751 Authors
04 Jan 2023 (modified: 17 Sept 2024)
Withdrawn by Authors
Readers:
Everyone
FASTRAIN-GNN: Fast and Accurate Self-Training for Graph Neural Networks
Amrit Nagarajan
,
Anand Raghunathan
Published: 17 Apr 2023, Last Modified: 17 Sept 2024
Accepted by TMLR
Readers:
Everyone
Beyond Traditional Transfer Learning: Co-finetuning for Action Localisation
TMLR Paper749 Authors
03 Jan 2023 (modified: 17 Sept 2024)
Rejected by TMLR
Readers:
Everyone
Monotone deep Boltzmann machines
Zhili Feng
,
Ezra Winston
,
J Zico Kolter
Published: 11 Apr 2023, Last Modified: 17 Sept 2024
Accepted by TMLR
Readers:
Everyone
Determinantal Point Process Selection Over Grid Codes Supports Out of Distribution Generalization
TMLR Paper746 Authors
02 Jan 2023 (modified: 17 Sept 2024)
Rejected by TMLR
Readers:
Everyone
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues
Mohamed Abdelhack
,
Jiaming Zhang
,
Sandhya Tripathi
,
Bradley A Fritz
,
Daniel Felsky
,
Michael Avidan
,
Yixin Chen
,
Christopher Ryan King
Published: 06 Apr 2023, Last Modified: 17 Sept 2024
Accepted by TMLR
Readers:
Everyone
Patches Are All You Need?
Asher Trockman
,
J Zico Kolter
Published: 16 Mar 2023, Last Modified: 17 Sept 2024
Accepted by TMLR
Readers:
Everyone
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