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The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulationīenchmarking Bias Mitigation Algorithms in Representation Learning through Fairness Metricsĭatasets for Online Controlled Experiments The People’s Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial UsageĬSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example The PAIR-R24M Dataset for Multi-animal 3D Pose Estimation
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WRENCH: A Comprehensive Benchmark for Weak SupervisionĪ Dataset for Answering Time-Sensitive Questions
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SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific TablesĪ sandbox for prediction and integration of DNA, RNA, and proteins in single cellsĬhest ImaGenome Dataset for Clinical Reasoning Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehension URLB: Unsupervised Reinforcement Learning Benchmarkīenchmark for Compositional Text-to-Image SynthesisĪn Empirical Study of Graph Contrastive Learning Mitigating dataset harms requires stewardship: Lessons from 1000 papersĬonstructing a Visual Dataset to Study the Effects of Spatial Apartheid in South AfricaĪI and the Everything in the Whole Wide World Benchmark
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PASS: An ImageNet replacement for self-supervised pretraining without humans SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical EvaluationĮvaluating Bayes Error Estimators on Real-World Datasets with FeeBeeĭUE: End-to-End Document Understanding Benchmark KeSpeech: An Open Source Speech Dataset of Mandarin and Its Eight Subdialects Generating Datasets of 3D Garments with Sewing Patterns We are really excited about their quality and potential impact. Further details about the motivation and setup are discussed in this blog post.īelow is the list of the 174 accepted submissions.
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As for the separate processor for its sensor, it’s apparently necessary because “the computing power of the sensor is significantly higher than that of the iPhone.” Kuo expects the device to arrive in late 2022 and said Apple will make sure it can support a “comprehensive range of applications” with the ultimate goal of replacing the iPhone in a decade’s time.This year, NeurIPS launched the new Datasets and Benchmarks track, to serve as a venue for exceptional work in creating high-quality datasets, insightful benchmarks, and discussions on how to improve dataset development and data-oriented work more broadly. That’ll only be possible, because the M1 chip has the power needed to be able to support the displays. The device will be able to provide not just augmented, but also virtual reality experiences, Kuo said, thanks to a pair of 4K Micro OLED displays from Sony. With both processors in place, the headset won’t need to be tethered to an iPhone or a Mac. In Kuo’s latest research report seen by MacRumors and 9to5Mac, the analyst said that the device will have a main processor with the same computing power as the M1 chip and a secondary processor to handle all sensor-related computing.
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