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TRENDING RESEARCH

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UNSUPERVISED CROSS-LINGUAL REPRESENTATION LEARNING FOR SPEECH RECOGNITION

facebookresearch/fairseq • • 24 Jun 2020

This paper presents XLSR which learns cross-lingual speech representations by
pretraining a single model from the raw waveform of speech in multiple
languages.



Quantization Representation Learning +1

16,956
8.28 stars / hour
Paper
Code



PADDLENLP

PaddlePaddle/PaddleNLP • • ACL ARR January 2022

Easy-to-use and powerful NLP library with awesome model zoo, supporting
wide-range of NLP tasks from research to industrial applications.



Few-Shot Learning Link Prediction +2

3,599
1.49 stars / hour
Paper
Code



COLOSSAL-AI: A UNIFIED DEEP LEARNING SYSTEM FOR LARGE-SCALE PARALLEL TRAINING

hpcaitech/colossalai • • 28 Oct 2021

The Transformer architecture has improved the performance of deep learning
models in domains such as Computer Vision and Natural Language Processing.



2D Human Pose Estimation

3,003
1.20 stars / hour
Paper
Code



A LIGHTWEIGHT INSTRUMENT-AGNOSTIC MODEL FOR POLYPHONIC NOTE TRANSCRIPTION AND
MULTIPITCH ESTIMATION

spotify/basic-pitch • • 18 Mar 2022

Despite its simplicity, benchmark results show our system's note estimation to
be substantially better than a comparable baseline, and its frame-level accuracy
to be only marginally below those of specialized state-of-the-art AMT systems.



Music Transcription

98
0.78 stars / hour
Paper
Code



OPT: OPEN PRE-TRAINED TRANSFORMER LANGUAGE MODELS

facebookresearch/metaseq • • 2 May 2022

Large language models, which are often trained for hundreds of thousands of
compute days, have shown remarkable capabilities for zero- and few-shot
learning.

 Ranked #1 on Stereotypical Bias Analysis on CrowS-Pairs

Hate Speech Detection Language Modelling +1

2,885
0.60 stars / hour
Paper
Code



GOAL-GUIDED NEURAL CELLULAR AUTOMATA: LEARNING TO CONTROL SELF-ORGANISING
SYSTEMS

shyamsn97/controllable-ncas • • 25 Apr 2022

Inspired by cellular growth and self-organization, Neural Cellular Automata
(NCAs) have been capable of "growing" artificial cells into images, 3D
structures, and even functional machines.





19
0.53 stars / hour
Paper
Code



FEW-SHOT PARAMETER-EFFICIENT FINE-TUNING IS BETTER AND CHEAPER THAN IN-CONTEXT
LEARNING

r-three/t-few • • 11 May 2022

ICL incurs substantial computational, memory, and storage costs because it
involves processing all of the training examples every time a prediction is
made.

 Ranked #1 on Few-Shot Text Classification on RAFT

Few-Shot Text Classification

84
0.53 stars / hour
Paper
Code



THIN-PLATE SPLINE MOTION MODEL FOR IMAGE ANIMATION

yoyo-nb/thin-plate-spline-motion-model • • 27 Mar 2022

Firstly, we propose thin-plate spline motion estimation to produce a more
flexible optical flow, which warps the feature maps of the source image to the
feature domain of the driving image.



Image Animation Motion Estimation +1

377
0.47 stars / hour
Paper
Code



NEO: GENERALIZING CONFUSION MATRIX VISUALIZATION TO HIERARCHICAL AND
MULTI-OUTPUT LABELS

apple/ml-hierarchical-confusion-matrix • 24 Oct 2021

The confusion matrix, a ubiquitous visualization for helping people evaluate
machine learning models, is a tabular layout that compares predicted class
labels against actual class labels over all data instances.





185
0.42 stars / hour
Paper
Code



A UNIFIED FRAMEWORK FOR IMPLICIT SINKHORN DIFFERENTIATION

marvin-eisenberger/implicit-sinkhorn • • 13 May 2022

The Sinkhorn operator has recently experienced a surge of popularity in computer
vision and related fields.





17
0.40 stars / hour
Paper
Code


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