15. December 2025 @ 5pm CET — ▶️ YouTube
Flat Channels to Infinity in Neural Loss Landscapes
Flavio Martinelli, EPFL, Switzerland
arXiv: https://arxiv.org/pdf/2506.14951
8. December 2025 @ 5pm CET
Understanding adversarially robust generalization via weight-curvature index
Yuelin Xu, CISPA Helmholtz Center for Information Security, Germany
arXiv: https://arxiv.org/pdf/2410.07719
1. December 2025 @ 5pm CET — ▶️ YouTube
Beyond Outliers: A Study of Optimizers Under Quantization
Georgios Vlassis, ETH Zurich, Switzerland
arXiv: https://arxiv.org/pdf/2509.23500
17. November 2025 @ 5pm CET — ▶️ YouTube
Mask in the Mirror: Implicit Sparsification
Tom Jacobs, CISPA Helmholtz Center for Information Security, Germany
arXiv: https://arxiv.org/abs/2408.09966
20. October 2025 @ 5pm CEST — ▶️ YouTube
Testing knowledge distillation theories with dataset size
Giulia Lanzillotta, ETH AI Center, ETH Zurich, Switzerland
OpenReview: https://openreview.net/pdf?id=zxvfnceX9S
29. September 2025 @ 5pm CEST — ▶️ YouTube
Self-Bootstrapping for Versatile Test-Time Adaptation
Shuaicheng Niu, Nanyang Technological University, Singapore
arXiv: https://arxiv.org/pdf/2504.08010
8. September 2025 @ 5pm CEST — ▶️ YouTube
Layer by Layer: Uncovering Hidden Representations in Language Models
Oscar Skean, University of Kentucky, USA
arXiv: https://arxiv.org/pdf/2502.02013
28. July 2025 @ 5pm CEST — ▶️ YouTube
Dynamic Sparse Training of Diagonally Sparse Networks
Abhishek Tyagi, University of Rochester, NY, USA
arXiv: https://arxiv.org/pdf/2506.11449
21. July 2025 @ 5pm CEST — ▶️ YouTube
Effective Interplay between Sparsity and Quantization: From Theory to Practice
Simla Burcu Harma, EcoCloud, EPFL, Switzerland
arXiv: https://arxiv.org/abs/2405.20935
14. July 2025 @ 5pm CEST — ▶️ YouTube
Forget the Data and Fine-Tuning! Just Fold the Network to Compress
Dong Wang, Graz University of Technology, Austria
arXiv: https://arxiv.org/abs/2502.10216
30. June 2025 @ 5pm CEST — ▶️ YouTube
Improving Neural Network Accuracy by Concurrently Training with a Twin Network
Benjamin Vandersmissen, IDLab, University of Antwerp, Belgium
OpenReview: https://openreview.net/pdf?id=TEmE9PSC65
23. June 2025 @ 5pm CEST — ▶️ YouTube
On the Crucial Role of Initialization for Matrix Factorization
Bingcong Li, ETH Zurich, Switzerland
arXiv: https://arxiv.org/abs/2410.18965
16. June 2025 @ 5pm CEST — ▶️ YouTube
Photon: Federated LLM Pre-Training
Lorenzo Sani, University of Cambridge and Flower Labs, UK
arXiv: https://arxiv.org/abs/2411.02908
12. May 2025 @ 5pm CEST — ▶️ YouTube
Do Deep Neural Network Solutions Form a Star Domain?
Ankit Sonthalia, Tübingen AI Center, Universität Tübingen, Germany
arXiv: https://arxiv.org/abs/2403.07968
14. April 2025 @ 5pm CEST — ▶️ YouTube
Leveraging the True Depth of LLMs
Ramón Calvo González, University of Geneva, Switzerland
arXiv: https://arxiv.org/pdf/2502.02790
7. April 2025 @ 5pm CEST — ▶️ YouTube
Mobile Video Diffusion
Denis Korzhenkov, Qualcomm AI Research, Netherlands
arXiv: https://arxiv.org/pdf/2412.07583
17. March 2025 @ 5pm CET — ▶️ YouTube
The Curse of Depth in Large Language Models
Shiwei Liu, Mathematics Institute, University of Oxford, UK
arXiv: https://arxiv.org/abs/2412.13795
3. February 2025 @ 5pm CET — ▶️ YouTube
HydraViT: Stacking Heads for a Scalable ViT
Janek Haberer and Ali Hojjat, Kiel University, Germany
arXiv: https://arxiv.org/pdf/2409.17978
16. December 2024 @ 4pm CET
Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks
Wenying Duan, Nanchang University, Xiaoxi He, University of Macau, China
Link: https://dl.acm.org/doi/10.1145/3637528.3671912
2. December 2024 @ 5pm CET — ▶️ YouTube
Towards Meta-Pruning via Optimal Transport
Alexander Theus and Olin Geimer, ETH Zurich, Switzerland
arXiv: https://arxiv.org/abs/2402.07839
11. November 2024 @ 5pm CET — ▶️ YouTube
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
Nils Philipp Walter, CISPA Helmholtz Center for Information Security, Germany
Linara Adilova, Ruhr University Bochum, Germany
arXiv: https://arxiv.org/abs/2405.16918
28. October 2024 @ 5pm CET — ▶️ YouTube
Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models
Eldar Kurtic, Institute of Science and Technology Austria (ISTA) and NeuralMagic, Austria
arXiv: https://arxiv.org/pdf/2406.12572
21. October 2024 @ 5pm CEST — ▶️ YouTube
Toward Greener Matrix Operations by Lossless Compressed Formats
Francesco Tosoni, University of Pisa, Italy
arXiv: https://arxiv.org/pdf/2409.18620
16. September 2024 @ 5pm CEST — ▶️ YouTube
Localizing Task Information for Improved Model Merging and Compression
Ke Wang and Nikolaos Dimitriadis, EPFL, Switzerland
arXiv: https://arxiv.org/pdf/2405.07813
2. September 2024 @ 5pm CEST — ▶️ YouTube
Expand-and-Cluster: Parameter Recovery of Neural Networks
Flavio Martinelli, EPFL, Switzerland
arXiv: https://arxiv.org/abs/2304.12794
22. July 2024 @ 5pm CEST — ▶️ YouTube
Efficiency for Free: Ideal Data Are Transportable Representations
Peng Sun, Zhejiang University, China
arXiv: https://arxiv.org/pdf/2405.14669
15. July 2024 @ 5pm CEST — ▶️ YouTube
Subspace-Configurable Networks
Dong Wang, Graz University of Technology, Austria
arXiv: https://arxiv.org/pdf/2305.13536
17. June 2024 @ 5pm CEST — ▶️ YouTube
Improving Transformers with Dynamically Composable Multi-Head Attention
Da Xiao, Beijing University of Posts and Telecommunications, China
arXiv: https://arxiv.org/pdf/2405.08553
27. May 2024 @ 5pm CEST
LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition
Youbing Hu, AIoT Lab, Harbin Institute of Technology, China and Yun Cheng, Swiss Data Science Center, Switzerland
arXiv: https://arxiv.org/pdf/2402.00033.pdf
13. May 2024 @ 5pm CEST — ▶️ YouTube
94% on CIFAR-10 in 3.29 Seconds on a Single GPU
Keller Jordan, Independent Researcher, USA
arXiv: https://arxiv.org/pdf/2404.00498.pdf
29. April 2024 @ 5pm CEST
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Rahim Entezari, Stability AI, Austria
arXiv: https://arxiv.org/pdf/2403.03206.pdf
15. April 2024 @ 5pm CEST — ▶️ YouTube
Just Say the Name: Online Continual Learning with Category Names Only via Data Generation
Diganta Misra, Max Planck Institute, Tübingen, Germany
arXiv: https://arxiv.org/pdf/2403.10853.pdf
8. April 2024 @ 5pm CEST
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
Guillermo Ortiz-Jimenez, EPFL, Switzerland
arXiv: https://arxiv.org/pdf/2305.12827.pdf
18. March 2024 @ 5pm CET
Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions
M. Jehanzeb Mirza, Graz University of Technology, Austria
arXiv: https://arxiv.org/abs/2305.18953
26. February 2024 @ 5pm CET
Less is More – Towards parsimonious multi-task models using structured sparsity
Richa Upadhyay, Luleå University of Technology, Sweden
OpenReview: https://openreview.net/pdf?id=0VU6Vlh0zy
19. February 2024 @ 5pm CET
How to Prune Your Language Model: Recovering Accuracy on the “Sparsity May Cry” Benchmark
Eldar Kurtic, Institute of Science and Technology Austria (ISTA), Austria
arXiv: https://arxiv.org/abs/2312.13547
13. February 2024 @ 5pm CET
Efficient Continual and On-Device Learning for Edge Computing Platforms
Young D. Kwon, University of Cambridge and Samsung AI, UK
arXiv: https://arxiv.org/abs/2311.11420, https://arxiv.org/abs/2307.09988
29. January 2024 @ 5pm CET
HRBP: Hardware-friendly Regrouping towards Block-based Pruning for Sparse CNN Training
Haoyu Ma, University of California, Irvine, USA
OpenReview: https://openreview.net/pdf?id=VP1Xrdz0Bp
22. January 2024 @ 5pm CET
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning
Alicia Curth and Alan Jeffares, University of Cambridge, UK
arXiv: https://arxiv.org/abs/2310.18988
18. December 2023 @ 5pm CET
MosaicML: A Three-Year Retrospective of the Journey and Technology
Jonathan Frankle, Mosaic ML / Databricks, USA
11. December 2023 @ 5pm CET
Dual Algorithmic Reasoning
Danilo Numeroso, University of Pisa, Italy
arXiv: https://arxiv.org/abs/2302.04496
27. November 2023 @ 5pm CET
Privacy Side Channels in Machine Learning Systems
Edoardo Debenedetti, ETH Zurich, Switzerland
arXiv: https://arxiv.org/abs/2309.05610
17. November 2023 @ 3pm CET
Layer-wise Linear Mode Connectivity
Linara Adilova, Ruhr University Bochum, Germany
arXiv: https://arxiv.org/abs/2307.06966
6. November 2023 @ 5pm CET
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge
Wei Lin, Institute of Computer Graphics and Vision, Graz University of Technology, Austria
arXiv: https://arxiv.org/abs/2303.08914
30. October 2023 @ 5pm CET
Why Do We Need Weight Decay in Modern Deep Learning?
Maksym Andriushchenko, EPFL, Switzerland
arXiv: https://arxiv.org/abs/2310.04415
27. October 2023 @ 3pm CET
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
Xinyue Ma, UNIST, South Korea
arXiv: https://arxiv.org/abs/2308.06053
18. September 2023 @ 5pm CET
Localised Adaptive Spatial-Temporal Graph Neural Network
Xiaoxi He, University of Macau, China
arXiv: https://arxiv.org/abs/2306.06930
11. September 2023 @ 5pm CET
AutoCoreset: An Automatic Practical Coreset Construction Framework
Alaa Maalouf, Computer Science and Artificial Intelligence Lab (CSAIL), MIT, USA
arXiv: https://arxiv.org/abs/2305.11980
4. September 2023 @ 5pm CET
SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot
Elias Frantar, Institute of Science and Technology Austria (ISTA), Austria
arXiv: https://arxiv.org/abs/2301.00774
10. July 2023 @ 5pm CET
Information Plane Analysis for Dropout Neural Networks
Linara Adilova, Ruhr University Bochum, Germany
arXiv: https://arxiv.org/abs/2303.00596
26. June 2023 @ 5pm CET
MiniLearn: On-Device Learning for Low-Power IoT Devices
Marc-Andre Schümann and Olaf Landsiedel, Kiel University, Germany & Chalmers University of Technology, Sweden
PDF: https://ewsn2022.pro2future.at/paper/sessions/ewsn2022-final3.pdf
ACM digital library: https://dl.acm.org/doi/10.5555/3578948.3578949
5. June 2023 @ 5pm CET
A Modern Look at the Relationship Between Sharpness and Generalization
Maksym Andriushchenko, EPFL, Switzerland
arXiv link: https://arxiv.org/abs/2302.07011
22. May 2023 @ 5pm CET
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
Shiwei Liu, VITA group and the Institute for Foundations of Machine Learning (IFML) at UT Austin, USA
arXiv link: https://arxiv.org/abs/2303.02141
15. May 2023 @ 5pm CET
Continual Pre-Training Mitigates Forgetting in Language and Vision
Andrea Cossu, University of Pisa, Italy
arXiv link: https://arxiv.org/abs/2205.09357
17. April 2023 @ 5pm CET
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
Keller Jordan, Hive AI, USA
arXiv link: https://arxiv.org/abs/2211.08403
3. April 2023 @ 5pm CET
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
Mansheej Paul, Stanford, USA
arXiv link: https://arxiv.org/abs/2210.03044
2nd Workshop on Efficient Machine Learning, 2022, Vienna, Austria