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Workshop
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GraphWorld: Fake Graphs BringReal Insights for GNNs
John Palowitch · Anton Tsitsulin · Bryan Perozzi · Brandon Mayer
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Workshop
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REAP: A Large-Scale Realistic Adversarial Patch Benchmark
Nabeel Hingun · Chawin Sitawarin · Jerry Li · David Wagner
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Workshop
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Towards Creating Benchmark Datasets of Universal Neural Network Potential for Material Discovery
So Takamoto · Chikashi Shinagawa · Nontawat Charoenphakdee
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Workshop
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Fri 7:36
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Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection
Catherine Glossop · Jacopo Panerati · Amrit Krishnan · Zhaocong Yuan · Angela Schoellig
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Workshop
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Sat 8:35
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Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
Prithviraj Ammanabrolu
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Workshop
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Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates
Jacob Portes · Davis Blalock · Cory Stephenson · Jonathan Frankle
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Workshop
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Sat 9:10
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Panel RL Benchmarks
Minmin Chen · Pablo Samuel Castro · Caglar Gulcehre · Tony Jebara · Peter Stone
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Workshop
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Fri 7:20
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Benchmarking Trainng Algorithms by Zachary Nado
Zachary Nado
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Workshop
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Identifying the Context Shift between Test Benchmarks and Production Data
Matt Groh
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Workshop
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Sat 11:35
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CausalAgents: A robustness benchmark for motion forecasting using causal relationships
Liting Sun
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Workshop
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Sat 11:40
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ProofNet: A Benchmark for Autoformalizing and Formally Proving Undergraduate-Level Mathematics Problems
Zhangir Azerbayev · Bartosz Piotrowski · Jeremy Avigad
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Workshop
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Sat 10:15
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Train Offline, Test Online: A Real Robot Learning Benchmark
Gaoyue Zhou · Victoria Dean · Mohan Kumar Srirama · Aravind Rajeswaran · Jyothish Pari · Kyle Hatch · Aryan Jain · Tianhe Yu · Pieter Abbeel · Lerrel Pinto · Chelsea Finn · Abhinav Gupta
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