Anna Choromanska
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
12
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection. | Haoran Zhu, Zhenyuan Dong, Kristi Topollai, Beiyao Sha, Anna Choromanska |
| 2025 | CVPR | Task-Level Contrastiveness for Cross-Domain Few-Shot Learning. | Kristi Topollai, Anna Choromanska |
| 2024 | AISTATS | GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models. | Tolga Dimlioglu, Anna Choromanska |
| 2024 | CVPR | Wake-Sleep Energy Based Models for Continual Learning. | Vaibhav Singh, Anna Choromanska, Shuang Li, Yilun Du |
| 2024 | CVPR | TAME: Task Agnostic Continual Learning using Multiple Experts. | Haoran Zhu, Maryam Majzoubi, Arihant Jain, Anna Choromanska |
| 2024 | ECAI | Adjacent Leader Decentralized Stochastic Gradient Descent. | Haoze He, Jing Wang, Anna Choromanska |
| 2024 | UAI | AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop. | Jing Wang, Yunfei Teng, Anna Choromanska |
| 2023 | ICRA | ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals. | Shihong Fang, Haoran Zhu, Devansh Bisla, Anna Choromanska, Satish Ravindran, Dongyin Ren, Ryan Wu |
| 2022 | AAAI | Backdoor Attacks on the DNN Interpretation System. | Shihong Fang, Anna Choromanska |
| 2022 | AISTATS | Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape. | Devansh Bisla, Jing Wang, Anna Choromanska |
| 2021 | CVPR | A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs. | Devansh Bisla, Apoorva Nandini Saridena, Anna Choromanska |
| 2020 | AISTATS | LdSM: Logarithm-depth Streaming Multi-label Decision Trees. | Maryam Majzoubi, Anna Choromanska |
| 2020 | ICML | Learning to Score Behaviors for Guided Policy Optimization. | Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Krzysztof Choromanski, Anna Choromanska, Michael I. Jordan |
| 2020 | ICRA | Multi-modal Experts Network for Autonomous Driving. | Shihong Fang, Anna Choromanska |
| 2019 | CVPR | Towards Automated Melanoma Detection With Deep Learning: Data Purification and Augmentation. | Devansh Bisla, Anna Choromanska, Russell S. Berman, Jennifer A. Stein, David Polsky |
| 2019 | ICML | Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. | Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, Irina Rish, Paolo Diachille, Viatcheslav Gurev, Brian Kingsbury, Ravi Tejwani, Djallel Bouneffouf |
| 2019 | ICRA | Reconfigurable Network for Efficient Inferencing in Autonomous Vehicles. | Shihong Fang, Anna Choromanska |
| 2018 | ICRA | VisualBackProp: Efficient Visualization of CNNs for Autonomous Driving. | Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Larry J. Ackel, Urs Muller, Philip Yeres, Karol Zieba |
| 2018 | IROS | Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy. | Naman Patel, Apoorva Nandini Saridena, Anna Choromanska, Prashanth Krishnamurthy, Farshad Khorrami |
| 2017 | AISTATS | Structured adaptive and random spinners for fast machine learning computations. | Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski, Francois Fagan, Cdric Gouy-Pailler, Anne Morvan, Nourhan Sakr, Tams Sarls, Jamal Atif |
| 2017 | ICLR | Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. | Pratik Chaudhari, Anna Choromanska, Stefano Soatto, Yann LeCun, Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Levent Sagun, Riccardo Zecchina |
| 2017 | ICML | Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation. | Yacine Jernite, Anna Choromanska, David A. Sontag |
| 2017 | IROS | Sensor modality fusion with CNNs for UGV autonomous driving in indoor environments. | Naman Patel, Anna Choromanska, Prashanth Krishnamurthy, Farshad Khorrami |
| 2016 | ICML | Binary embeddings with structured hashed projections. | Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun |
| 2015 | ACIIDS | Automated Analysis of Images from Confocal Laser Scanning Microscopy Applied to Observation of Calcium Channel Subunits in Nerve Cell Model Line Subjected Electroporation and Calcium. | Julita Kulbacka, Marek Kulbacki, Jakub Segen, Anna Choromanska, Jolanta Saczko, Magda Dubinska-Magiera, Malgorzata Kotulska |
| 2015 | AISTATS | The Loss Surfaces of Multilayer Networks. | Anna Choromanska, Mikael Henaff, Michal Mathieu, Grard Ben Arous, Yann LeCun |
| 2015 | COLT | Open Problem: The landscape of the loss surfaces of multilayer networks. | Anna Choromanska, Yann LeCun, Grard Ben Arous |
| 2013 | ALT | Differentially-Private Learning of Low Dimensional Manifolds. | Anna Choromanska, Krzysztof Choromanski, Geetha Jagannathan, Claire Monteleoni |
| 2013 | ALT | Fast Spectral Clustering via the Nystrm Method. | Anna Choromanska, Tony Jebara, Hyungtae Kim, Mahesh Mohan, Claire Monteleoni |