TMLR

Modeling Object Dissimilarity for Deep Saliency Prediction

Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Seungryong Kim, Mathieu Salzmann, Sabine Süsstrunk

Comments Transactions on Machine Learning Research (TMLR 2022) https://openreview.net/forum?id=NmTMc3uD1G

Behind the Machine's Gaze: Neural Networks with Biologically-inspired Constraints Exhibit Human-like Visual Attention

Leo Schwinn, Doina Precup, Björn Eskofier, Dario Zanca

Comments 31 pages, 14 figures, 4 tables

Journal ref Transactions on Machine Learning Research, October 2022, Open Access

Does Entity Abstraction Help Generative Transformers Reason?

Nicolas Gontier, Siva Reddy, Christopher Pal

Comments TMLR 2022; 28 pages; 9 tables; 1 figure

Complex-Valued Autoencoders for Object Discovery

Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling

Comments Published in Transactions on Machine Learning Research (TMLR)

A Rigorous Study Of The Deep Taylor Decomposition

Leon Sixt, Tim Landgraf

Comments Published in Transactions on Machine Learning Research (TMLR)

Efficient Gradient Flows in Sliced-Wasserstein Space

Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz

Comments Published in Transactions on Machine Learning Research (November 2022)

Diffusion Models for Video Prediction and Infilling

Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi

Comments Published in TMLR (11/2022)

Approximate Policy Iteration with Bisimulation Metrics

Mete Kemertas, Allan Jepson

Comments Accepted to Transactions on Machine Learning Research (TMLR)

QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning

Srivatsan Krishnan, Maximilian Lam, Sharad Chitlangia, Zishen Wan, Gabriel Barth-Maron, Aleksandra Faust, Vijay Janapa Reddi

Comments Equal contribution from first three authors. Updating with QuaRL for sustainable (carbon emissions) RL results

Journal ref Published in Transactions on Machine Learning Research (07/2022)

A Generalist Agent

Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gomez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas

Comments Published at TMLR, 42 pages

Journal ref Transactions on Machine Learning Research, 11/2022, https://openreview.net/forum?id=1ikK0kHjvj

Linear algebra with transformers

François Charton

Comments Transactions in Machine Learning Research (TMLR), October 2022

On the Adversarial Robustness of Vision Transformers

Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh

Comments Published in Transactions on Machine Learning Research (TMLR). Codes available at https://github.com/RulinShao/on-the-adversarial-robustness-of-visual-transformer

Structured Uncertainty in the Observation Space of Variational Autoencoders

James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker

Comments Published in Transactions on Machine Learning Research (10/2022). Code available on https://github.com/biomedia-mira/sos-vae

Do better ImageNet classifiers assess perceptual similarity better?

Manoj Kumar, Neil Houlsby, Nal Kalchbrenner, Ekin D. Cubuk

Comments TMLR 2022 (https://openreview.net/forum?id=qrGKGZZvH0)

Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach

Mohammad Ali Alomrani, Reza Moravej, Elias B. Khalil

Comments https://openreview.net/forum?id=mbwm7NdkpO

Journal ref Transactions on Machine Learning Research, 2022

sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification

Gabriel Bénédict, Vincent Koops, Daan Odijk, Maarten de Rijke

Comments Published at TMLR

Emergent Abilities of Large Language Models

Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, William Fedus

Comments Transactions on Machine Learning Research (TMLR), 2022

Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed

Melanie Bernhardt, Fabio De Sousa Ribeiro, Ben Glocker

Comments Published in Transactions on Machine Learning Research (10/2022)

Journal ref Transactions on Machine Learning Research (10/2022)

Using unsupervised learning to detect broken symmetries, with relevance to searches for parity violation in nature. (Previously: "Stressed GANs snag desserts")

Christopher G. Lester, Rupert Tombs

Comments 10 pages, 4 figures. v2: updated arXiv numbers in bib. v3: typo fixes, v4: adding workaround to provide access to sister paper (Ref [7]) following arXiv moderation problems. v5 removed bib workaround and added author affiliations. v6: typo fixes. v7: better separation of proposal vs illustration. v8: referee comments

Journal ref Transactions on Machine Learning Research, 2022

Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning

Linfeng Liu, Xu Han, Dawei Zhou, Li-Ping Liu

Journal ref Transactions on Machine Learning Research (TMLR) October 2022

Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning

Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai

Comments Transactions on Machine Learning Research (TMLR)

On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning

Philipp Becker, Gerhard Neumann

Comments Published in TMLR, October 2022

Flipped Classroom: Effective Teaching for Time Series Forecasting

Philipp Teutsch, Patrick Mäder

Comments Published in Transactions on Machine Learning Research (10/2022)

Differentiable Model Compression via Pseudo Quantization Noise

Alexandre Défossez, Yossi Adi, Gabriel Synnaeve

Comments final TMLR version

A Simple Convergence Proof of Adam and Adagrad

Alexandre Défossez, Léon Bottou, Francis Bach, Nicolas Usunier

Comments final TMLR version

On the Paradox of Certified Training

Nikola Jovanović, Mislav Balunović, Maximilian Baader, Martin Vechev

Comments Published in Transactions on Machine Learning Research (TMLR) 10/2022

Generative Adversarial Neural Operators

Md Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli

Comments Transactions on Machine Learning Research 2022

From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality

Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li

Journal ref Transactions on Machine Learning Research 2022

Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent

Ajaykrishna Karthikeyan, Naman Jain, Nagarajan Natarajan, Prateek Jain

Comments Accepted to TMLR

FedShuffle: Recipes for Better Use of Local Work in Federated Learning

Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, Michael Rabbat

Comments Published in Transactions on Machine Learning Research (09/2022)