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Results
Found 122 publication records. Showing 122 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Amber Li, Tom Silver |
Embodied Active Learning of Relational State Abstractions for Bilevel Planning.  |
CoLLAs  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sashank Pisupati, Isabel M. Berwian, Jamie Chiu, Yongjing Ren, Yael Niv |
Human inductive biases for aversive continual learning - a hierarchical Bayesian nonparametric model. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yuqian Jiang, Bo Liu, Peter Stone |
Model-Based Meta Automatic Curriculum Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Gwen Legate, Lucas Caccia, Eugene Belilovsky |
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Grégoire Petit, Adrian Popescu 0001, Eden Belouadah, David Picard, Bertrand Delezoide |
PlaStIL: Plastic and Stable Exemplar-Free Class-Incremental Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shubham Malaviya, Manish Shukla 0001, Sachin Lodha |
Reducing Communication Overhead in Federated Learning for Pre-trained Language Models Using Parameter-Efficient Finetuning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen 0001 |
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Subhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane Larlus |
RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Safa Alver, Doina Precup |
Minimal Value-Equivalent Partial Models for Scalable and Robust Planning in Lifelong Reinforcement Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth |
Partial Hypernetworks for Continual Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Banafsheh Rafiee, Sina Ghiassian, Jun Jin 0001, Richard S. Sutton, Jun Luo 0009, Adam White 0001 |
Auxiliary task discovery through generate-and-test. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner |
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Joseph Campbell, Yue Guo, Fiona Xie, Simon Stepputtis, Katia P. Sycara |
Introspective Action Advising for Interpretable Transfer Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zaheer Abbas, Rosie Zhao, Joseph Modayil, Adam White 0001, Marlos C. Machado |
Loss of Plasticity in Continual Deep Reinforcement Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sarthak Bhagat, Simon Stepputtis, Joseph Campbell, Katia P. Sycara |
Sample-Efficient Learning of Novel Visual Concepts. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Christopher McClurg, Ali Ayub, Harsh Tyagi, Sarah Michele Rajtmajer, Alan R. Wagner |
Active Class Selection for Few-Shot Class-Incremental Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer 0001 |
Improving Online Continual Learning Performance and Stability with Temporal Ensembles. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis 0001, Eugene Vinitsky, Tim Rocktäschel |
Stabilizing Unsupervised Environment Design with a Learned Adversary. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Gabriele Merlin, Vedant Nanda, Ruchit Rawal, Mariya Toneva |
What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Renhao Huang, Anthony Tompkins, Maurice Pagnucco, Yang Song 0001 |
Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Thang Doan, Seyed-Iman Mirzadeh, Mehrdad Farajtabar |
Continual Learning Beyond a Single Model. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash |
Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Samuel Kessler, Mateusz Ostaszewski, Michal Pawel Bortkiewicz, Mateusz Zarski, Maciej Wolczyk, Jack Parker-Holder, Stephen J. Roberts, Piotr Milos |
The Effectiveness of World Models for Continual Reinforcement Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Massimo Caccia, Jonas Mueller 0001, Taesup Kim, Laurent Charlin, Rasool Fakoor |
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kushagra Chandak, Bingshan Hu, Nidhi Hegde 0001 |
Differentially Private Algorithms for Efficient Online Matroid Optimization. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Eleni Nisioti, Elías Masquil, Gautier Hamon, Clément Moulin-Frier |
Autotelic Reinforcement Learning in Multi-Agent Environments. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shenao Zhang, Li Shen 0005, Lei Han, Li Shen 0008 |
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hongyu Wang 0008, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes 0001 |
Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lior Friedman, Ron Meir |
Adaptive Meta-Learning via data-dependent PAC-Bayes bounds. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vincent Létourneau, Colin Bellinger, Isaac Tamblyn, Maia Fraser |
Time and temporal abstraction in continual learning: tradeoffs, analogies and regret in an active measuring setting. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang 0004, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein |
Prospective Learning: Principled Extrapolation to the Future. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ali Rahimi-Kalahroudi, Janarthanan Rajendran, Ida Momennejad, Harm van Seijen, Sarath Chandar |
Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Réda Alami, Mohammed Mahfoud, Eric Moulines |
Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sarath Chandar, Razvan Pascanu, Hanie Sedghi, Doina Precup (eds.) |
Conference on Lifelong Learning Agents, 22-25 August 2023, McGill University, Montréal, Québec, Canada. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi |
Vision-Language Models as Success Detectors. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White 0001, Martha White |
Measuring and Mitigating Interference in Reinforcement Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Boje Deforce, Bart Baesens, Jan Diels, Estefanía Serral Asensio |
MultiMix TFT: A Multi-task Mixed-Frequency Framework with Temporal Fusion Transformers. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Muberra Ozmen, Joseph Cotnareanu, Mark Coates |
Substituting Data Annotation with Balanced Neighbourhoods and Collective Loss in Multi-label Text Classification. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth |
Class-Incremental Learning with Repetition. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Timothée Lesort, Oleksiy Ostapenko, Pau Rodríguez, Diganta Misra, Md Rifat Arefin, Laurent Charlin, Irina Rish |
Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tom Dupuis, Jaonary Rabarisoa, Quoc-Cuong Pham, David Filliat |
VIBR: Learning View-Invariant Value Functions for Robust Visual Control. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar |
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hsing-Huan Chung, Joydeep Ghosh |
Incremental Unsupervised Domain Adaptation on Evolving Graphs. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Peter G. Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones 0002, Kevin Patrick Murphy |
Low-rank extended Kalman filtering for online learning of neural networks from streaming data. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Saptarshi Nath, Christos Peridis, Eseoghene Ben-Iwhiwhu, Xinran Liu, Shirin Dora, Cong Liu, Soheil Kolouri, Andrea Soltoggio |
Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Vladislava Kontsevaya, Andrey Filchenkov |
A Minimalist Approach for Domain Adaptation with Optimal Transport. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Alexandre Galashov, Jovana Mitrovic, Dhruva Tirumala, Yee Whye Teh, Timothy Nguyen, Arslan Chaudhry, Razvan Pascanu |
Continually learning representations at scale. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté |
Augmenting Autotelic Agents with Large Language Models. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yingjun Du, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek |
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kristopher De Asis, Eric Graves 0002, Richard S. Sutton |
Value-aware Importance Weighting for Off-policy Reinforcement Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Han Sun, Rui Gong, Konrad Schindler, Luc Van Gool |
SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Haoran Li 0006, Jingfeng Wu, Vladimir Braverman |
Fixed Design Analysis of Regularization-Based Continual Learning. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse Thomason |
I2I: Initializing Adapters with Improvised Knowledge. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hadi Nekoei, Xutong Zhao, Janarthanan Rajendran, Miao Liu, Sarath Chandar |
Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sam Powers, Abhinav Gupta 0001, Chris Paxton |
Evaluating Continual Learning on a Home Robot. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yongxin Yang, Timothy M. Hospedales |
Partial Index Tracking: A Meta-Learning Approach. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lorenzo Steccanella, Simone Totaro, Anders Jonsson 0001 |
Hierarchical Representation Learning for Markov Decision Processes. |
CoLLAs |
2023 |
DBLP BibTeX RDF |
|
| 1 | Georgios Tziafas, Lambert Schomaker, S. Hamidreza Kasaei 0001 |
Sim-To-Real Transfer of Visual Grounding for Human-Aided Ambiguity Resolution. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
|
| 1 | Rahaf Aljundi, Daniel Olmeda Reino, Nikolay Chumerin, Richard E. Turner |
Continual Novelty Detection. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
|
| 1 | Prashant Shivaram Bhat, Bahram Zonooz, Elahe Arani |
Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
|
| 1 | Shuang Li, Yilun Du, Gido van de Ven, Igor Mordatch |
Energy-Based Models for Continual Learning. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
|
| 1 | Mohammad Rostami |
Increasing Model Generalizability for Unsupervised Visual Domain Adaptation. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Wilder Lavington, Sharan Vaswani, Mark Schmidt 0001 |
Improved Policy Optimization for Online Imitation Learning. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
|
| 1 | Xu Ji, Razvan Pascanu, R. Devon Hjelm, Balaji Lakshminarayanan, Andrea Vedaldi |
Test Sample Accuracy Scales with Training Sample Density in Neural Networks. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter |
Reactive Exploration to Cope With Non-Stationarity in Lifelong Reinforcement Learning. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
|
| 1 | Shruthi Gowda, Bahram Zonooz, Elahe Arani |
InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ekdeep Singh Lubana, Puja Trivedi, Danai Koutra, Robert P. Dick |
How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yujing Wang, Luoxing Xiong, Mingliang Zhang, Hui Xue 0004, Qi Chen, Yaming Yang 0001, Yunhai Tong, Congrui Huang, Bixiong Xu |
Heat-RL: Online Model Selection for Streaming Time-Series Anomaly Detection. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
|
| 1 | Rylan Schaeffer, Gabrielle Kaili-May Liu, Yilun Du, Scott Linderman, Ila Rani Fiete |
Streaming Inference for Infinite Non-Stationary Clustering. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
|
| 1 | Andrei Alex Rusu, Sebastian Flennerhag, Dushyant Rao, Razvan Pascanu, Raia Hadsell |
Probing Transfer in Deep Reinforcement Learning without Task Engineering. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
|
| 1 | Vijaya Raghavan T. Ramkumar, Elahe Arani, Bahram Zonooz |
Differencing based Self-supervised pretraining for Scene Change Detection. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
|
| 1 | Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin |
Continual Learning with Foundation Models: An Empirical Study of Latent Replay. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Sepideh Esmaeilpour, Lei Shu 0004, Bing Liu 0001 |
Open Set Recognition Via Augmentation-Based Similarity Learning. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Mingxi Cheng, Tingyang Sun, Shahin Nazarian, Paul Bogdan |
Trustworthiness Evaluation and Trust-Aware Design of CNN Architectures. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
|
| 1 | Fahad Sarfraz, Elahe Arani, Bahram Zonooz |
SYNERgy between SYNaptic Consolidation and Experience Replay for General Continual Learning. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Sam Powers, Eliot Xing, Abhinav Gupta 0001 |
Self-Activating Neural Ensembles for Continual Reinforcement Learning. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
|
| 1 | Cristina Garbacea, Qiaozhu Mei |
Adapting Pre-trained Language Models to Low-Resource Text Simplification: The Path Matters. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Sam Powers, Eliot Xing, Eric Kolve, Roozbeh Mottaghi, Abhinav Gupta 0001 |
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | NareshKumar Gurulingan, Elahe Arani, Bahram Zonooz |
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Hugo Cisneros, Tomás Mikolov, Josef Sivic |
Benchmarking Learning Efficiency in Deep Reservoir Computing. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Jelena Luketina, Sebastian Flennerhag, Yannick Schroecker, David Abel, Tom Zahavy, Satinder Singh 0001 |
Meta-Gradients in Non-Stationary Environments. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Ahmed Akakzia, Olivier Sigaud |
Learning Object-Centered Autotelic Behaviors with Graph Neural Networks. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Pranshu Malviya, Balaraman Ravindran, Sarath Chandar |
TAG: Task-based Accumulated Gradients for Lifelong learning. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Mohammad Saidur Rahman 0002, Scott E. Coull, Matthew Wright 0001 |
On the Limitations of Continual Learning for Malware Classification. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Kilian Fatras, Hiroki Naganuma, Ioannis Mitliagkas |
Optimal Transport meets Noisy Label Robust Loss and MixUp Regularization for Domain Adaptation. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Liam Collins, Aryan Mokhtari, Sanjay Shakkottai |
How Does the Task Landscape Affect MAML Performance? |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Maia Fraser, Vincent Létourneau |
Inexperienced RL Agents Can't Get It Right: Lower Bounds on Regret at Finite Sample Complexity. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Phung Lai, Han Hu 0007, Hai Phan, Ruoming Jin, My T. Thai, An M. Chen |
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard S. Zemel, Matthias Bethge |
Disentanglement and Generalization Under Correlation Shifts. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Zichen Ma, Yu Lu, Wenye Li 0001, Shuguang Cui |
EFL: Elastic Federated Learning on Non-IID Data. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Simone Marullo, Matteo Tiezzi, Alessandro Betti, Lapo Faggi, Enrico Meloni, Stefano Melacci |
Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Tyler L. Hayes, Christopher Kanan |
Online Continual Learning for Embedded Devices. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Leonard Bereska, Efstratios Gavves |
Continual Learning of Dynamical Systems With Competitive Federated Reservoir Computing. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Valentin Guillet, Dennis George Wilson, Emmanuel Rachelson |
Neural Distillation as a State Representation Bottleneck in Reinforcement Learning. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Sasha Salter, Markus Wulfmeier, Dhruva Tirumala, Nicolas Heess, Martin A. Riedmiller, Raia Hadsell, Dushyant Rao |
MO2: Model-Based Offline Options. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo |
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Meghna Gummadi, David Kent 0001, Jorge A. Mendez, Eric Eaton |
SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner |
Few-Shot Learning by Dimensionality Reduction in Gradient Space. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Stephanie C. Y. Chan, Andrew Kyle Lampinen, Pierre Harvey Richemond, Felix Hill |
Zipfian Environments for Reinforcement Learning. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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| 1 | Sri Aurobindo Munagala, Sidhant Subramanian, Shyamgopal Karthik, Ameya Prabhu, Anoop M. Namboodiri |
CLActive: Episodic Memories for Rapid Active Learning. |
CoLLAs |
2022 |
DBLP BibTeX RDF |
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