AI&ML Trending Papers @arxivaiml
Tweet trending papers in the AI & ML category on https://t.co/IJJQ3Oqu20 Joined May 2021-
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[🔥🔥🔥] The False Promise of Imitating Proprietary LLMs arxiv.org/abs/2305.15717
[🔥🔥🔥] Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness arxiv.org/abs/2305.13946
[🔥🔥🔥] Are Emergent Abilities of Large Language Models a Mirage? arxiv.org/abs/2304.15004
[🔥🔥🔥] LIMA: Less Is More for Alignment arxiv.org/abs/2305.11206
Mimetic Initialization of Self-Attention Layers arxiv.org/abs/2305.09828
[🔥🔥🔥] BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews arxiv.org/abs/2305.06595
Learning Stochastic Dynamical System via Flow Map Operator arxiv.org/abs/2305.03874
AutoML-GPT: Automatic Machine Learning with GPT arxiv.org/abs/2305.02499
Model-agnostic Measure of Generalization Difficulty arxiv.org/abs/2305.01034
Evaluation of Regularization-based Continual Learning Approaches: Application to HAR arxiv.org/abs/2304.13327
Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls arxiv.org/abs/2304.12420
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks arxiv.org/abs/2304.12567
[🔥🔥🔥] Energy-Based Sliced Wasserstein Distance arxiv.org/abs/2304.13586
[🔥🔥🔥] Scaling Transformer to 1M tokens and beyond with RMT arxiv.org/abs/2304.11062
Loss minimization yields multicalibration for large neural networks arxiv.org/abs/2304.09424
A Data Driven Sequential Learning Framework to Accelerate and Optimize Multi-Objective Manufacturing Decisions arxiv.org/abs/2304.09278
Dimensionality Reduction as Probabilistic Inference arxiv.org/abs/2304.07658
Repeated Principal-Agent Games with Unobserved Agent Rewards and Perfect-Knowledge Agents arxiv.org/abs/2304.07407
Do deep neural networks have an inbuilt Occam's razor? arxiv.org/abs/2304.06670
ChemCrow: Augmenting large-language models with chemistry tools arxiv.org/abs/2304.05376
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