Trans. Mach. Learn. Res.

Keyphrases

Publications

volume 2024, 2024

Jiapeng Fan, Luke Cadigan, Paulius Skaisgiris, Sebastian Uriel Arias
Reproducibility Study of "Learning Perturbations to Explain Time Series Predictions". Trans. Mach. Learn. Res. 2024 (2024)
Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang
Efficient Large Language Models: A Survey. Trans. Mach. Learn. Res. 2024 (2024)
Daiqing Qi, Handong Zhao, Xiaowei Jia, Sheng Li
Revealing an Overlooked Challenge in Class-Incremental Graph Learning. Trans. Mach. Learn. Res. 2024 (2024)
Vladimír Boza
Fast and Effective Weight Update for Pruned Large Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Weiming Ren, Huan Yang, Ge Zhang, Cong Wei, Xinrun Du, Wenhao Huang, Wenhu Chen
ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation. Trans. Mach. Learn. Res. 2024 (2024)
Pascal Mattia Esser, Satyaki Mukherjee, Debarghya Ghoshdastidar
Representation Learning Dynamics of Self-Supervised Models. Trans. Mach. Learn. Res. 2024 (2024)
Tim Chard, Mark Dras, Paul F. Sowman, Steve Cassidy, Jia Wu
Temporally Rich Deep Learning Models for Magnetoencephalography. Trans. Mach. Learn. Res. 2024 (2024)
Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi
CLIP-QDA: An Explainable Concept Bottleneck Model. Trans. Mach. Learn. Res. 2024 (2024)
Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
Adversarial Imitation Learning from Visual Observations using Latent Information. Trans. Mach. Learn. Res. 2024 (2024)
Ramnath Kumar, Dheeraj Mysore Nagaraj
Introspective Experience Replay: Look Back When Surprised. Trans. Mach. Learn. Res. 2024 (2024)
Rongzhe Wei, Eleonora Kreacic, Haoyu Peter Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024)
Lucas Mansilla, Estanislao Claucich, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations. Trans. Mach. Learn. Res. 2024 (2024)
Ethan Harvey, Mikhail Petrov, Michael C. Hughes
Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported. Trans. Mach. Learn. Res. 2024 (2024)
Adam Ibrahim, Benjamin Thérien, Kshitij Gupta, Mats L. Richter, Quentin Gregory Anthony, Eugene Belilovsky, Timothée Lesort, Irina Rish
Simple and Scalable Strategies to Continually Pre-train Large Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David M. Blei
CAREER: A Foundation Model for Labor Sequence Data. Trans. Mach. Learn. Res. 2024 (2024)
Weili Shi, Sheng Li
Dual-windowed Vision Transformer with Angular Self- Attention. Trans. Mach. Learn. Res. 2024 (2024)
Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome
VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing. Trans. Mach. Learn. Res. 2024 (2024)
Karanpartap Singh, James Zou
New Evaluation Metrics Capture Quality Degradation due to LLM Watermarking. Trans. Mach. Learn. Res. 2024 (2024)
Mahdi Biparva, Raika Karimi, Faezeh Faez, Yingxue Zhang
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization. Trans. Mach. Learn. Res. 2024 (2024)
Deyao Zhu, Jun Chen, Kilichbek Haydarov, Xiaoqian Shen, Wenxuan Zhang, Mohamed Elhoseiny
ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions. Trans. Mach. Learn. Res. 2024 (2024)
Viet Duong, Qiong Wu, Zhengyi Zhou, Eric Zavesky, Wen-Ling Hsu, Han Zhao, Huajie Shao
A General-Purpose Multi-Modal OOD Detection Framework. Trans. Mach. Learn. Res. 2024 (2024)
Maria-Florina Balcan, Hedyeh Beyhaghi
New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs. Trans. Mach. Learn. Res. 2024 (2024)
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. 2024 (2024)
Tanguy Lefort, Benjamin Charlier, Alexis Joly, Joseph Salmon
Identify Ambiguous Tasks Combining Crowdsourced Labels by Weighting Areas Under the Margin. Trans. Mach. Learn. Res. 2024 (2024)
Satyapriya Krishna, Tessa Han, Alex Gu, Steven Wu, Shahin Jabbari, Himabindu Lakkaraju
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective. Trans. Mach. Learn. Res. 2024 (2024)
Lucas Hayne, Heejung Jung, R. McKell Carter
Does Representation Similarity Capture Function Similarity? Trans. Mach. Learn. Res. 2024 (2024)
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Somesh Jha, Tomas Pfister
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction. Trans. Mach. Learn. Res. 2024 (2024)
Ajinkya K. Mulay, Xiaojun Lin
SPriFed-OMP: A Differentially Private Federated Learning Algorithm for Sparse Basis Recovery. Trans. Mach. Learn. Res. 2024 (2024)
Xiaoyang Wang, Han Zhao, Klara Nahrstedt, Sanmi Koyejo
Personalized Federated Learning with Spurious Features: An Adversarial Approach. Trans. Mach. Learn. Res. 2024 (2024)
Shamik Kundu, Sanjay Das, Sayar Karmakar, Arnab Raha, Souvik Kundu, Yiorgos Makris, Kanad Basu
Bit-by-Bit: Investigating the Vulnerabilities of Binary Neural Networks to Adversarial Bit Flipping. Trans. Mach. Learn. Res. 2024 (2024)
Vijay Sadashivaiah, Keerthiram Murugesan, Ronny Luss, Pin-Yu Chen, Chris R. Sims, James A. Hendler, Amit Dhurandhar
To Transfer or Not to Transfer: Suppressing Concepts from Source Representations. Trans. Mach. Learn. Res. 2024 (2024)
Mrinank Sharma, Tom Rainforth, Yee Whye Teh, Vincent Fortuin
Incorporating Unlabelled Data into Bayesian Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Jun Yu, Zhaoming Kong, Kun Chen, Xin Zhang, Yong Chen, Lifang He
A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis. Trans. Mach. Learn. Res. 2024 (2024)
Guillaume Staerman, Pavlo Mozharovskyi, Pierre Colombo, Stéphan Clémençon, Florence d'Alché-Buc
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions. Trans. Mach. Learn. Res. 2024 (2024)
Peimeng Guan, Naveed Iqbal, Mark A. Davenport, Mudassir Masood
Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures. Trans. Mach. Learn. Res. 2024 (2024)
Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024)
Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
A Survey on Fairness Without Demographics. Trans. Mach. Learn. Res. 2024 (2024)
Le Thi Khanh Hien, Sukanya Patra, Souhaib Ben Taieb
Anomaly detection with semi-supervised classification based on risk estimators. Trans. Mach. Learn. Res. 2024 (2024)
Keitaro Sakamoto, Issei Sato
End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training. Trans. Mach. Learn. Res. 2024 (2024)
Mila Gorecki, Jakob H. Macke, Michael Deistler
Amortized Bayesian Decision Making for simulation-based models. Trans. Mach. Learn. Res. 2024 (2024)
Piyushi Manupriya, Saketha Nath Jagarlapudi, Pratik Jawanpuria
MMD-Regularized Unbalanced Optimal Transport. Trans. Mach. Learn. Res. 2024 (2024)
Kedar Karhadkar, Michael Murray, Hanna Tseran, Guido Montúfar
Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape. Trans. Mach. Learn. Res. 2024 (2024)
Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder. Trans. Mach. Learn. Res. 2024 (2024)
Lars Doorenbos, Pablo Márquez-Neila, Raphael Sznitman, Pascal Mettes
Hyperbolic Random Forests. Trans. Mach. Learn. Res. 2024 (2024)
Pulkit Gopalani, Samyak Jha, Anirbit Mukherjee
Global Convergence of SGD For Logistic Loss on Two Layer Neural Nets. Trans. Mach. Learn. Res. 2024 (2024)
Tiancheng Qin, S. Rasoul Etesami, César A. Uribe
Faster Convergence of Local SGD for Over-Parameterized Models. Trans. Mach. Learn. Res. 2024 (2024)
Hongyi Yuan, Songchi Zhou, Sheng Yu
EHRDiff : Exploring Realistic EHR Synthesis with Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024)
Helia Ghasemi, Christina Isaicu, Jesse Wonnink, Andreas Berentzen
[Re] Reproducibility Study of "Explaining Temporal Graph Models Through an Explorer-Navigator Framework". Trans. Mach. Learn. Res. 2024 (2024)
Ruosen Li, Teerth Patel, Xinya Du
PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations. Trans. Mach. Learn. Res. 2024 (2024)
Gijs de Jong, Macha J. Meijer, Derck W. E. Prinzhorn, Harold Ruiter
Reproducibility study of FairAC. Trans. Mach. Learn. Res. 2024 (2024)