3

MERGE3: Efficient Evolutionary Merging on Consumer-grade GPUs
Evolutionary model merging enables the creation of high-performing multi-task models but remains computationally prohibitive for …
Cite arXiv GitHub
MERGE3: Efficient Evolutionary Merging on Consumer-grade GPUs
Decoding RNA-RNA Interactions: The Role of Low-Complexity Repeats and a Deep Learning Framework for Sequence-Based Prediction
RNA-RNA interactions (RRIs) are fundamental to gene regulation and RNA processing, yet their molecular determinants remain unclear. In …
Cite bioRxiv Code
Decoding RNA-RNA Interactions: The Role of Low-Complexity Repeats and a Deep Learning Framework for Sequence-Based Prediction
Humanity's Last Exam
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are …
Cite URL GitHub arXiv
Humanity's Last Exam
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations
We present COCOLA (Coherence-Oriented Contrastive Learning for Audio), a contrastive learning method for musical audio representations …
Cite arXiv GitHub
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations
ATM: Improving Model Merging by Alternating Tuning and Merging
Model merging has recently emerged as a cost-efficient paradigm for multi-task learning. Among current approaches, task arithmetic …
Cite arXiv GitHub
ATM: Improving Model Merging by Alternating Tuning and Merging
ResiDual Transformer Alignment with Spectral Decomposition
When examined through the lens of their residual streams, a puzzling property emerges in transformer networks: residual contributions …
Cite arXiv
ResiDual Transformer Alignment with Spectral Decomposition
Detecting and Approximating Redundant Computational Blocks in Neural Networks
Deep neural networks often learn similar internal representations, both across different models and within their own layers. While …
Cite arXiv
Detecting and Approximating Redundant Computational Blocks in Neural Networks
Latent Space Translation via Inverse Relative Projection
The emergence of similar representations between independently trained neural models has sparked significant interest in the …
Cite arXiv
Latent Space Translation via Inverse Relative Projection
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
It has been observed that representations learned by distinct neural networks conceal structural similarities when the models are …
Cite PDF URL ICLR 2024 spotlight
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting
We present GSEdit, a pipeline for text-guided 3D object editing based on Gaussian Splatting models. Our method enables the editing of …
Cite arXiv
GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting