TMLR Submissions

Complex-Valued Autoencoders for Object Discovery
Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling
- Published: 18 Nov 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Temperature check: theory and practice for training models with softmax-cross-entropy losses
Atish Agarwala, Samuel Stern Schoenholz, Jeffrey Pennington, Yann Dauphin
- Published: 11 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
FedDAG: Federated DAG Structure Learning
Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard Bondell
- Published: 05 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline
TMLR Paper424 Authors
- 11 Sept 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Limitations of Neural Collapse for Understanding Generalization in Deep Learning
TMLR Paper423 Authors
- 11 Sept 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Gradient-Free Minimax Optimization: Variance Reduction and Faster Convergence
TMLR Paper422 Authors
- 11 Sept 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
What Should a (Future) Deep Learning Theory Look Like? A Phenomenological Perspective
TMLR Paper421 Authors
- 10 Sept 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Controllable Generative Modeling via Causal Reasoning
Joey Bose, Ricardo Pio Monti, Aditya Grover
- Published: 19 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Multimodal Language Learning in the Face of Missing Modalities
TMLR Paper419 Authors
- 09 Sept 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A geometrical connection between sparse and low-rank matrices and its application to manifold learning
Lawrence K. Saul
- Published: 26 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Input Invex Neural Network
TMLR Paper416 Authors
- 07 Sept 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A Stochastic Optimization Framework for Fair Risk Minimization
Andrew Lowy, Sina Baharlouei, Rakesh Pavan, Meisam Razaviyayn, Ahmad Beirami
- Published: 17 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Snapshot of the Frontiers of Client Selection in Federated Learning
Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria M Oliver
- Published: 21 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Benchmarks and Algorithms for Offline Preference-Based Reward Learning
Daniel Shin, Anca Dragan, Daniel S. Brown
- Published: 02 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Calibrated Selective Classification
Adam Fisch, Tommi S. Jaakkola, Regina Barzilay
- Published: 16 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Decentralized Feature-Distributed Optimization for Generalized Linear Models
TMLR Paper410 Authors
- 05 Sept 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Named Tensor Notation
David Chiang, Alexander M Rush, Boaz Barak
- Published: 13 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
An approximate sampler for energy-based models with divergence diagnostics
Bryan Eikema, Germán Kruszewski, Christopher R Dance, Hady Elsahar, Marc Dymetman
- Published: 29 Nov 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
SMILE: Sample-to-feature Mixup for Efficient Transfer Learning
Xingjian Li, Haoyi Xiong, Cheng-zhong Xu, Dejing Dou
- Published: 30 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Adaptively Phased Algorithm for Linear Contextual Bandits
TMLR Paper405 Authors
- 03 Sept 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
PolyViT: Co-training Vision Transformers on Images, Videos and Audio
Valerii Likhosherstov, Anurag Arnab, Krzysztof Marcin Choromanski, Mario Lucic, Yi Tay, Mostafa Dehghani
- Published: 09 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Extracting Local Reasoning Chains of Deep Neural Networks
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
- Published: 11 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Shapley Oracle Pruning for Convolutional Neural Networks
TMLR Paper402 Authors
- 01 Sept 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Algorithms and Theory for Supervised Gradual Domain Adaptation
Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao
- Published: 17 Nov 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Unsupervised Domain Adaptation via Minimized Joint Error
TMLR Paper400 Authors
- 01 Sept 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone