Mathematics, Numerical Analysis
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.
Computer Science, Computer Vision and Pattern Recognition
Unified Implicit Neural Stylization for Controllable Non-Rigid Image Editing
Computer Science, Networking and Internet Architecture
Verifying Authenticity of Location Claims in Certified Notifications
Computer Science, Computer Vision and Pattern Recognition
Comparing Singular Values for Dominant Terms in Shifted Convolutional Neural Networks
Computer Science, Computer Vision and Pattern Recognition
Unsupervised Deep Learning for Image Denoising
Computer Science, Computer Vision and Pattern Recognition
Deep Learning for Efficient and Precise 3D Object Manufacturing
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Disentangling Image Manipulation: Modulating Attention for Precise Editing
Atmospheric and Oceanic Physics, Physics
Machine Learning Models for Global Subseasonal Forecasts: A Review
Computer Science, Computer Vision and Pattern Recognition
Unlocking Earth’s Secrets: A Comprehensive Review of Remote Sensing Technologies
Artificial Intelligence, Computer Science
Balancing AI’s Eloquence and Adversarial Tendencies: Civilizing AI towards Value-Inspired Outcomes
Computation and Language, Computer Science
Enhancing Natural Language Understanding with the RDR Paradigm
Computer Science, Computer Vision and Pattern Recognition
Hierarchical Vision Transformer for Efficient Ultra-High Resolution Segmentation
Computer Science, Computer Vision and Pattern Recognition
Adversarial Patches in Video Classification
Computer Science, Machine Learning
Understanding AL Methods’ Sampling Behaviors via Data Maps
Computer Science, Machine Learning
Abstraction Refinement in Multi-Agent Reinforcement Learning
Quantum-Enhanced Generative Adversarial Networks for Efficient Simulation of Quantum Many-Body Systems
Computer Science, Computer Vision and Pattern Recognition
Depth Estimation Techniques: A Comprehensive Review
Computer Science, Machine Learning
Improving Clustering Efficiency through Alternative Decoding
Computer Science, Computer Vision and Pattern Recognition
Neural Volumetric Rendering of Humans Under Different Object Interactions
Computer Science, Information Theory