TMLR Submissions

InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers
Leonid Boytsov, Preksha Patel, Vivek Sourabh, Riddhi Nisar, Sayani Kundu, Ramya Ramanathan, Eric Nyberg
- Published: 23 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
TAMUNA: Doubly Accelerated Federated Learning with Local Training, Compression, and Partial Participation
TMLR Paper1461 Authors
- 10 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Beyond Boundaries: A Novel Data-Augmentation Discourse for Open Domain Generalization
Shirsha Bose, Ankit Jha, Hitesh Kandala, Biplab Banerjee
- Published: 04 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization
Fang Kong, XiangCheng Zhang, Baoxiang Wang, Shuai Li
- Published: 11 Jan 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
The Kernel Density Integral Transformation
Calvin McCarter
- Published: 10 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity
Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero-Soriano
- Published: 02 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval
TMLR Paper1456 Authors
- 09 Aug 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
A Fully Decentralized Surrogate for Multi-Agent Policy Optimization
Kefan Su, Zongqing Lu
- Published: 14 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Image retrieval outperforms diffusion models on data augmentation
Max F Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell
- Published: 10 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Exact and Approximate Conformal Inference for Multi-task Learning
TMLR Paper1451 Authors
- 06 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
SIESTA: Efficient Online Continual Learning with Sleep
Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Ronald Kemker, Christopher Kanan
- Published: 01 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback
Mohammad Pedramfar, Vaneet Aggarwal
- 05 Aug 2023 (modified: 30 Jan 2025)
- Rejected by TMLR
- Readers: Everyone
Relation-Oriented: Toward Causal Knowledge-Aligned AGI
TMLR Paper1448 Authors
- 05 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Meta Continual Learning on Graphs with Experience Replay
Altay Unal, Abdullah Akgül, Melih Kandemir, Gozde Unal
- Published: 26 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Experiential Learning: Using Partition-Tree Weighting and MAML in the Continual and Online Setting
TMLR Paper1445 Authors
- 04 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Manifold Contrastive Learning with Variational Lie Group Operators
Kion Fallah, Alec Helbling, Kyle A. Johnsen, Christopher John Rozell
- Published: 29 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On the Efficacy of Differentially Private Few-shot Image Classification
Marlon Tobaben, Aliaksandra Shysheya, John F Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Beguelin, Richard E Turner, Antti Honkela
- Published: 19 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Norm-count Hypothesis: On the Relationship Between Norm and Object Count in Visual Representations
TMLR Paper1442 Authors
- 04 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Preserving Fairness in AI under Domain Shift
TMLR Paper1441 Authors
- 04 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Provably Personalized and Robust Federated Learning
Mariel Werner, Lie He, Michael Jordan, Martin Jaggi, Sai Praneeth Karimireddy
- Published: 08 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
ADIR: Adaptive Diffusion for Image Reconstruction
TMLR Paper1439 Authors
- 03 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled
Shengchao Liu, Chengpeng Wang, Jiarui Lu, Weili Nie, Hanchen Wang, Zhuoxinran Li, Bolei Zhou, Jian Tang
- Published: 31 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities
Kasra Darvish, Edward Raff, Francis Ferraro, Cynthia Matuszek
- Published: 27 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need
TMLR Paper1436 Authors
- 03 Aug 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Fast Slate Policy Optimization: Going Beyond Plackett-Luce
Otmane Sakhi, David Rohde, Nicolas Chopin
- Published: 15 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone