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Found 7 papers, 3 papers with code
On the Semantic Latent Space of Diffusion-Based Text-to-Speech Models
The incorporation of Denoising Diffusion Models (DDMs) in the Text-to-Speech (TTS) domain is rising, providing great value in synthesizing high quality speech.
Weakly-Supervised Surgical Phase Recognition
A key element of computer-assisted surgery systems is phase recognition of surgical videos.
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond
Given an image of a certain object, the goal of VSD is to retrieve images of different objects with high perceptual visual similarity.
Self-Supervised Learning for Endoscopic Video Analysis
To fully exploit the power of SSL, we create sizable unlabeled endoscopic video datasets for training MSNs.
Ranked #2 on
Surgical phase recognition
on Cholec80
Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM
Key to our approach is a training objective that jointly supervises speech recognition, text continuation, and speech synthesis using only paired speech-text pairs, enabling a `cross-modal' chain-of-thought within a single decoding pass.
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates
Next, we propose a novel hybrid recommendation algorithm that bridges these two conflicting objectives and enables a harmonized balance between preserving high accuracy for warm items while effectively promoting completely cold items.
Trees with Attention for Set Prediction Tasks
However, most machine learning algorithms are not designed to handle set structures and are limited to processing records of fixed size.
