NeurIPS 2022 | Meta AI, Stanford & Tübingen U Beat Neural Scaling Laws via Data Pruning https://
syncedreview.com/2022/11/28/neu
rips-2022-meta-ai-stanford-tubingen-u-beat-neural-scaling-laws-via-data-pruning/
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@jiqizhixin
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Meta AI Stanford Tübingen Beat Neural Scaling Laws Data Pruning
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MIT Meta Enable Gradient Descent Optimizers Auto-Tune Hyperparameters
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NeurIPS 2022 | MIT & Meta Enable Gradient Descent Optimizers to Automatically Tune Their Own Hyperparameters https://
syncedreview.com/2022/11/25/neu
rips-2022-mit-meta-enable-gradient-descent-optimizers-to-automatically-tune-their-own-hyperparameters/
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NeurIPS 2022 Announces Outstanding Papers and Awards
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NeurIPS 2022 Announces Its Outstanding Main Track Papers, Outstanding Dataset & Benchmark Papers, and Test of Time Award
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NVIDIA SPACEx: Controllable High-Quality Portrait Animation Technology
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Moody Moving Faces: NVIDIA’s SPACEx Delivers High-Quality Portrait Animation with Controllable Expression https://
syncedreview.com/2022/11/22/moo
dy-moving-faces-nvidias-spacex-delivers-high-quality-portrait-animation-with-controllable-expression/
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Stanford Microsoft Method Enables Natural Language Model Bug Fixes
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Talking to Models: Stanford U & Microsoft Method Enables Developers to Correct Model Bugs via Natural Language Patches https://
syncedreview.com/2022/11/21/tal
king-to-models-stanford-u-microsoft-method-enables-developers-to-correct-model-bugs-via-natural-language-patches/
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Intel Achieves SOTA Speed Ups Running Fast Transformers CPUs
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Running Fast Transformers on CPUs: Intel Approach Achieves Significant Speed Ups and SOTA Performance https://
syncedreview.com/2022/11/17/run
ning-fast-transformers-on-cpus-intel-approach-achieves-significant-speed-ups-and-sota-performance/
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DeepMind’s Epistemic Networks Reduce LLM Fine-Tuning Data Requirements
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DeepMind’s Epistemic Neural Networks Enable Large Language Model Fine-Tuning With 50% Less Data https://
syncedreview.com/2022/11/16/dee
pminds-epistemic-neural-networks-enable-large-language-model-fine-tuning-with-50-less-data/
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Brain Dynamics Inspire Flexible Machine Learning Models
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Solving Brain Dynamics Gives Rise to Flexible Machine Learning Models https://
syncedreview.com/2022/11/15/sol
ving-brain-dynamics-gives-rise-to-flexible-machine-learning-models/
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MrsFormer: Multiresolution Attention Cuts Transformer Costs
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‘MrsFormer’ Employs a Nove Multiresolution-Head Attention Mechanism to Cut Transformers’ Compute and Memory Costs https://
syncedreview.com/2022/11/14/mrs
former-employs-a-nove-multiresolution-head-attention-mechanism-to-cut-transformers-compute-and-memory-costs/
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VIOLA: UT Austin & Sony AI Advance Robot Manipulation Learning
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UT Austin & Sony AI’s VIOLA Object-Centric Imitation Learning Method for Robot Manipulation Outperforms the SOTA by 45.8%