Trending Research
RAVE: A variational autoencoder for fast and high-quality neural audio synthesis
By leveraging a multi-band decomposition of the raw waveform, we show that our model is the first able to generate 48kHz audio signals, while simultaneously running 20 times faster than real-time on a standard laptop CPU.
Multiview Compressive Coding for 3D Reconstruction
We introduce a simple framework that operates on 3D points of single objects or whole scenes coupled with category-agnostic large-scale training from diverse RGB-D videos.
SensorX2car: Sensors-to-car calibration for autonomous driving in road scenarios
To this end, we present SensorX2car, a calibration toolbox for the online calibration of sensor-to-car coordinate systems in road scenes.
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
To democratize this, we train and release a family of large language models up to 16. 1B parameters, called CODEGEN, on natural language and programming language data, and open source the training library JAXFORMER.
Ranked #1 on
Program Synthesis
on HumanEval
Planar Object Tracking via Weighted Optical Flow
serycjon/WOFT
•
•
We propose WOFT -- a novel method for planar object tracking that estimates a full 8 degrees-of-freedom pose, i. e. the homography w. r. t.
Robust Speech Recognition via Large-Scale Weak Supervision
openai/whisper
•
•
Preprint 2022
We study the capabilities of speech processing systems trained simply to predict large amounts of transcripts of audio on the internet.
Ranked #1 on
Speech Recognition
on CHiME6
CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators
For analyzing such data, we introduce CROWDLAB, a straightforward approach to utilize any trained classifier to estimate: (1) A consensus label for each example that aggregates the available annotations; (2) A confidence score for how likely each consensus label is correct; (3) A rating for each annotator quantifying the overall correctness of their labels.
TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases
microsoft/KC
•
•
Pre-trained language models (PLMs) have shown their effectiveness in multiple scenarios.
Synthcity: facilitating innovative use cases of synthetic data in different data modalities
Synthcity is an open-source software package for innovative use cases of synthetic data in ML fairness, privacy and augmentation across diverse tabular data modalities, including static data, regular and irregular time series, data with censoring, multi-source data, composite data, and more.
Text2Poster: Laying out Stylized Texts on Retrieved Images
chuhaojin/text2poster-icassp-22
•
•
Poster generation is a significant task for a wide range of applications, which is often time-consuming and requires lots of manual editing and artistic experience.
