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PHALAR: Phasors for Learned Musical Audio Representations
We train a contrastive learning music model for stem retrieval, it achieves state-of-the-art due to its phase-aware architecture.
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PHALAR: Phasors for Learned Musical Audio Representations
Multi-Way Representation Alignment
The Platonic Representation Hypothesis suggests that independently trained neural networks converge to increasingly similar latent …
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Multi-Way Representation Alignment
Demystifying Mergeability: Interpretable Properties to Predict Model Merging Success
Model merging combines knowledge from separately fine-tuned models, yet success factors remain poorly understood. While recent work …
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Demystifying Mergeability: Interpretable Properties to Predict Model Merging Success
Navigating the Latent Space Dynamics of Neural Models
Neural networks transform high-dimensional data into compact, structured representations, often modeled as elements of a lower …
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Navigating the Latent Space Dynamics of Neural Models
Language Models are Injective and Hence Invertible
Transformer components such as non-linear activations and normalization are inherently non-injective, suggesting that different inputs …
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Language Models are Injective and Hence Invertible
Implicit Inversion turns CLIP into a Decoder
CLIP is a discriminative model trained to align images and text in a shared embedding space. Due to its multimodal structure, it serves …
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Implicit Inversion turns CLIP into a Decoder
MASS: MoErging through Adaptive Subspace Selection
Model merging has recently emerged as a lightweight alternative to ensembling, combining multiple fine-tuned models into a single set …
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MASS: MoErging through Adaptive Subspace Selection
Video Unlearning via Low-Rank Refusal Vector
Video generative models democratize the creation of visual content through intuitive instruction following, but they also inherit the …
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Video Unlearning via Low-Rank Refusal Vector
EuleroDec: A Complex-Valued RVQ-VAE for Efficient and Robust Audio Coding
Audio codecs power discrete music generative modelling, music streaming and immersive media by shrinking PCM audio to …
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EuleroDec: A Complex-Valued RVQ-VAE for Efficient and Robust Audio Coding
Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models
Foundation models capable of generalizing across species and tasks represent a promising new frontier in bioacoustics, with NatureLM …
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Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models