- Connected Papers🔍
- Computer Vision and Machine Learning for Intelligent Sensing ...🔍
- ICLR 2024 Schedule🔍
- Proceedings of the 37th International Conference on Machine ...🔍
- Main Track Accepted Papers🔍
- Event Cameras🔍
- TAG|ML 2023 Papers and Posters🔍
- from Robust Geometric Modeling to Scalable Physical Simulation🔍
A Fast Geometric Regularizer to Mitigate Event Collapse in the ...
Volume 202: International Conference on Machine Learning, 23-29 ...
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach. Tri Nguyen, Shahana Ibrahim, Xiao Fu; Proceedings of the ...
Connected Papers | Find and explore academic papers
A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization Framework. Shintaro Shiba, Y. Aoki, Guillermo Gallego.
Computer Vision and Machine Learning for Intelligent Sensing ...
Our regularization approach mitigates event collapse. (bottom row of Figure 8) ... Accuracy and Speed Improvement of Event Camera Motion Estimation Using a Bird's- ...
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs ... A Fast and Provable Algorithm for ...
Proceedings of the 37th International Conference on Machine ...
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and ... Implicit Geometric Regularization for Learning ShapesAmos Gropp, Lior Yariv ...
Main Track Accepted Papers - IJCAI 2024
Complementary to each other, stereo matching mitigates geometric ambiguity ... events, which mitigates multi-event without gold triggers. Extensive ...
Event Cameras: from SLAM to High Speed Video
C EVO: A Geometric Approach to Event-based 6-DOF Parallel Tracking and ... As in [149], we then collapse every spatio-temporal window of events to a synthetic.
TAG-ML 2023 Papers and Posters
Just as regularization plays a key role in linear dictionary learning, we propose a geometric regularizer for Wasserstein space that promotes representations of ...
To address this problem we iteratively minimize this energy, regenerating the scaffold at each iteration, and use the new scaffold as a rest pose for the ...
Advances in Neural Information Processing Systems 35 (NeurIPS ...
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold Can Yaras, Peng Wang, Zhihui Zhu, Laura Balzano, Qing Qu ...
Accepted Papers | 26th European Conference on ... - ECAI 2023
In this paper, we propose a (X) Cross-lingual Bootstrapped Unsupervised Fine-tuning Framework (X-BUFF) to mitigate long-tail language representation collapsing.
EVO: A geometric approach to event-based 6-DOF parallel tracking ...
They minimize the photometric error on a set of selected pixels whose 3D correspondences in the scene have already been established. We follow ...
A Complete List of All Adversarial Example Papers - Nicholas Carlini
... Rapid Response: Mitigating ... Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds.
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning · Reliability of CKA as a Similarity Measure in Deep Learning.
CVPR2024/CVPR2024-papers · Datasets at Hugging Face
To this end we develop a novel Dynamic Neural Collapse (DNC) algorithm to compute and update the optimal geometry. ... (3) A straightforward regularizer mitigates ...
Issue 1 - Volume 5 - Machine Learning: Science and Technology
... a fast learned model rather than directly from the accelerator. We use Multipoint-BAX to minimize emittance at the Linac Coherent Light Source (LCLS) and ...
Adversarial Graph Contrastive Learning with Information ... - NSF PAR
On top of that, we propose a new constraint called information regularization which could stabilize the training of ArieL and prevent the collapsing. We ...
Volume 235: International Conference on Machine Learning, 21-27 ...
A Geometric Decomposition of Finite Games: Convergence vs. Recurrence ... A fast algorithm to simulate nonlinear resistive networks. Benjamin Scellier ...
Methods for optimization and regularization of Generative Models
regularization, and is shown empirically to mitigate the collapse problem. ... the training NLL tends to decrease faster than for KALE.
Event-based data for pose estimation, visual odometry, and SLAM
A Fast Geometric Regularizer to Mitigate Event Collapse in the Contras... Go ... FA-Harris: A Fast and Asynchronous Corner Detector for Event Cameras.