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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 …
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COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations
Task Singular Vectors: Reducing Task Interference in Model Merging
Task Arithmetic has emerged as a simple yet effective method to merge models without additional training. However, by treating entire …
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Task Singular Vectors: Reducing Task Interference in Model Merging
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 …
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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 …
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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 …
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Detecting and Approximating Redundant Computational Blocks in Neural Networks
Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
Large Language Models (LLMs) represent a significant advancement in artificial intelligence, finding applications across various …
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Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
Latent Space Translation via Inverse Relative Projection
The emergence of similar representations between independently trained neural models has sparked significant interest in the …
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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 …
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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 …
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GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting
Implicit-ARAP: Efficient Handle-Guided Deformation of High-Resolution Meshes and Neural Fields via Local Patch Meshing
In this work, we present the local patch mesh representation for neural signed distance fields. This technique allows to discretize …
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Implicit-ARAP: Efficient Handle-Guided Deformation of High-Resolution Meshes and Neural Fields via Local Patch Meshing