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Publication search results
found 19 matches
- 2024
- Rosana Veroneze, Charles-Henry Bertrand Van Ouytsel, Khanh-Huu-The Dam, Axel Legay:
Feature selection for packer classification based on association rule mining. Eng. Appl. Artif. Intell. 137: 109083 (2024) - Jiezhi Yang, Khushi Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph Gonzalez:
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting. CoRR abs/2401.18075 (2024) - 2023
- Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt:
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers. CAMLIS 2023: 105-121 - Charles Packer, Vivian Fang, Shishir G. Patil, Kevin Lin, Sarah Wooders, Joseph E. Gonzalez:
MemGPT: Towards LLMs as Operating Systems. CoRR abs/2310.08560 (2023) - Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt:
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers. CoRR abs/2310.11706 (2023) - 2022
- Charles Packer, Nicholas Rhinehart, Rowan Thomas McAllister, Matthew A. Wright, Xin Wang, Jeff He, Sergey Levine, Joseph E. Gonzalez:
Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty. CoRL 2022: 1607-1617 - 2021
- Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine:
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. ICRA 2021: 13663-13669 - Charles Packer, Pieter Abbeel, Joseph E. Gonzalez:
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL. NeurIPS 2021: 2466-2477 - Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine:
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. CoRR abs/2104.10558 (2021) - Charles Packer, Pieter Abbeel, Joseph E. Gonzalez:
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL. CoRR abs/2112.00901 (2021) - 2018
- Richard Shin, Charles Packer, Dawn Song:
Differentiable Neural Network Architecture Search. ICLR (Workshop) 2018 - Charles Packer, Julian J. McAuley, Arnau Ramisa:
Visually-Aware Personalized Recommendation using Interpretable Image Representations. CoRR abs/1806.09820 (2018) - Charles Packer, Katelyn Gao, Jernej Kos, Philipp Krähenbühl, Vladlen Koltun, Dawn Song:
Assessing Generalization in Deep Reinforcement Learning. CoRR abs/1810.12282 (2018) - 2017
- Charles A. Packer, Lawrence B. Holder:
GraphZip: Dictionary-based Compression for Mining Graph Streams. CoRR abs/1703.08614 (2017) - 2016
- Ruining He, Charles Packer, Julian J. McAuley:
Learning Compatibility Across Categories for Heterogeneous Item Recommendation. ICDM 2016: 937-942 - Ruining He, Charles Packer, Julian J. McAuley:
Monomer: Non-Metric Mixtures-of-Embeddings for Learning Visual Compatibility Across Categories. CoRR abs/1603.09473 (2016) - 2009
- Maryam E. Rettmann, David R. Holmes III, Charles Dalegrave, Christopher Stanton, Susan B. Johnson, Douglas L. Packer, Richard A. Robb:
A Combined Surface and Volumetric Approach for Registration of Patient Specific Models into Left Atrial Cardiac Ablation Procedures. ISBI 2009: 1087-1090 - 1995
- Thomas L. Sterling, Daniel Savarese, Donald J. Becker, John E. Dorband, Udaya A. Ranawake, Charles V. Packer:
BEOWULF: A Parallel Workstation for Scientific Computation. ICPP (1) 1995: 11-14 - 1989
- Charles V. Packer:
Applying row-column permutation to matrix representations of large citation networks. Inf. Process. Manag. 25(3): 307-314 (1989)
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retrieved on 2024-11-18 05:48 CET from data curated by the dblp team
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