A Step Into The Unknown

[A Step Into The Unknown @ASITU_HK]

Authors propose using CNFs in the TMLE method for flexible, geometrically aware estimation. They also suggest Wasserstein gradient flows for efficient model navigation. https://t.co/bng0gVsp9T

[A Step Into The Unknown @ASITU_HK]

New benchmark dataset, TrafficMOT, for multi-object tracking (MOT) in complex traffic scenarios launched. Sourced from various cities' CCTV, it offers diverse traffic situations, potential to improve road safety. https://t.co/uAgbmhyPMO

[A Step Into The Unknown @ASITU_HK]

The PI-ViT model uses 2D/3D skeletons to enhance video representation for monitoring daily activities. It outperforms current models on real-world datasets. https://t.co/etjW0k7rMQ

[A Step Into The Unknown @ASITU_HK]

This study evaluates LLMs, like GPT-4, on handling text tokenization changes via 'Scrambled Bench' test. Results show proficiency in recovering scrambled sentences, even in extreme cases. https://t.co/6whJj2JqwU

[A Step Into The Unknown @ASITU_HK]

A new probe task reveals persistent biases in nationality, politics, religion, and gender in English Large Language Models, despite fine-tuning efforts. #AI #Bias https://t.co/gSLCJiXnR0

[A Step Into The Unknown @ASITU_HK]

Introducing SGDM, a subgraph-based diffusion framework for refining noisy, partially observed networks. Inspired by image generation diffusion models, it uses graph sampling for editing tasks. https://t.co/4J9l1EcEl1

[A Step Into The Unknown @ASITU_HK]

AI4S uses machine learning for scientific computation, but lacks precision. The paper suggests structural interpretation for error tracing and testing model's reliability. Applied on ML force fields, jet tagging, and nowcasting. https://t.co/KAwfjl0Yht

[A Step Into The Unknown @ASITU_HK]

The article explores generative & discriminative tasks in deep learning, specifically image synthesis & labeling. It proposes efficient diffusion models, DifFormer & DifFeed, and discusses related challenges. https://t.co/NHaiBCzuJo

[A Step Into The Unknown @ASITU_HK]

Experts use domain generalization and CLIP to enhance DNNs' handling of data shifts. Despite hurdles, refining final layers and using FAMix led to better results, surpassing existing methods. https://t.co/ffJum7O3Rs

[A Step Into The Unknown @ASITU_HK]

Authors redefine higher-order DisCoCat models, translate from Lambek calculus to Peirce's system beta, enabling a diagrammatic approach to language semantics. They propose HO-DisCoCat to address limitations. https://t.co/BU3dGfQicP

[A Step Into The Unknown @ASITU_HK]

The DisCoCirc model, a neuro-symbolic NLP approach, turns text into "text circuits" for machine learning. It suits near-term quantum computers and can parse English text automatically. https://t.co/vg9fSCaae2

[A Step Into The Unknown @ASITU_HK]

Understanding LLMs in machine learning is tough. Mechanistic interpretability aims to comprehend computations via task-specific algorithms. However, defining these computations is hard. Activation patching, a method used, can sometimes mislead. https://t.co/ro0OnjtQ5l

[A Step Into The Unknown @ASITU_HK]

LLMs may memorize & leak private data, posing a greater risk with larger models. However, gpt-3.5-turbo exhibited minimal memorization, likely due to its chat role. Method to detect memorization developed. https://t.co/2rkBVOR992

[A Step Into The Unknown @ASITU_HK]

Material Palette", a new method developed by researchers, identifies and extracts materials from a single image using text-to-image tech. It provides close-up RGB textures and physical properties of materials, useful for 3D scene editing. https://t.co/AgCVE2mbDl

[A Step Into The Unknown @ASITU_HK]

The text discusses text-driven 3D human generation for virtual try-ons, noting its efficiency issues. It suggests a new model, HumanGaussian, for creating high-quality 3D humans using advanced techniques. https://t.co/FBMSf51ZLr

[A Step Into The Unknown @ASITU_HK]

Study finds structural operations detect language violations and linear operations cause attraction effect. Linear effects may be influenced by word transition probabilities. Errors common in ungrammatical sentences. https://t.co/v6QPEo5uMY

[A Step Into The Unknown @ASITU_HK]

OpenAI's ChatGPT hit 100M users and business investment within 2 months due to its cost-saving potential. Its closed-source nature raises concerns, prompting research towards promising open-source LLMs. https://t.co/EUVoxMgu3T

[A Step Into The Unknown @ASITU_HK]

Discover Model-Agnostic Sparsified Training (MAST), a new optimization formula that improves machine learning using a random matrix. #ML #MAST https://t.co/OyrEs5JDB1

[A Step Into The Unknown @ASITU_HK]

Study finds AI language models proficient in visual data processing but lack in understanding intuitive physics, causal reasoning, and psychology. More focus needed on causality, physical dynamics, & social cognition. https://t.co/ZUkDIRkWuG

[A Step Into The Unknown @ASITU_HK]

Diffusion-TTA combines discriminative and generative models in machine learning, improving performance by adapting to training distribution. #MachineLearning #AI https://t.co/65fnKAEIxn