TMLR Submissions

Revisiting adversarial training for the worst-performing class
Thomas Pethick, Grigorios Chrysos, Volkan Cevher
- Published: 27 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Affordance Extraction with an External Knowledge Database for Text-Based Simulated Environments
TMLR Paper438 Authors
- 15 Sept 2022 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
CrossMAE: Decoupled Masked Image Modeling with Cross Prediction
TMLR Paper437 Authors
- 15 Sept 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Concave Utility Reinforcement Learning with Zero-Constraint Violations
Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal
- Published: 12 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Regularising for invariance to data augmentation improves supervised learning
TMLR Paper435 Authors
- 14 Sept 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Continual few-shot learning with Hippocampal-inspired replay
TMLR Paper434 Authors
- 14 Sept 2022 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Object-aware Cropping for Self-Supervised Learning
Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit K Anjaria, Abhyuday Narayan Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan
- Published: 21 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Improving Generalization with Approximate Factored Value Functions
Shagun Sodhani, Sergey Levine, Amy Zhang
- Published: 24 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
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