Computer Science, Computer Vision and Pattern Recognition
Author: LLama 2 7B Chat
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LLaMA-2, the next generation of LLaMA. Meta trained and released LLaMA-2 in three model sizes: 7, 13, and 70 billion parameters. The model architecture remains largely unchanged from that of LLaMA-1 models, but 40% more data was used to train the foundational models. The accompanying preprint also mentions a model with 34B parameters that might be released in the future upon satisfying safety targets.
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Enhancing Speaker Recognition with Gradient Weighting and Noise Suppression
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Unlocking the Secrets of High-Dimensional Sports Statistics: A Survey of Interpretability Techniques
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Fast Algorithms for Closest Point Queries in Voronoi Diagrams
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Efficient Inference of Large Language Models
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Unlocking Efficient Image Synthesis with Latent Diffusion Models
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Advances in Monocular Face Anti-Spoofing Using Deep Learning
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Bayesian Optimization in High Dimensions with MCMC
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Large-Scale Vision Models for Robust Image Recognition and Zero-Shot Classification
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Adaptive Attacks on Deep Reinforcement Learning
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Optimizing Electric Vehicle Charging Management with Hyperparameter Tuning
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Attention Improvement in Self-Supervised Learning
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