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acclearningonn

Acceleration method for learning fine-layered optical neural networks

adaptive-leveling-bo

apwd-dataset

audio-diff-caps

baxter-permutation-process

Bayesian nonparametric relational data analysis based on Baxter permutation process

byol-a

BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation

coco-rot

This is the official PyTorch impelementation of our paper "Robustizing Object Detection Networks Using Augmented Feature Pooling" (ACCV2022, Oral).

collision-probability-matching

compdp-counting

An implementation of "CompDP: A Framework for Simultaneous Subgraph Counting under Connectivity Constraints" in SEA 2023.

composing-general-audio-repr

Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model

cone

Official PyTorch Implementation of "Deep Quantigraphic Image Enhancement via Comparametric Equations" (ICASSP2023)

cs-reliability

An implementation of "Efficient Network Reliability Evaluation for Client-Server Model" in IEEE GLOBECOM 2021.

dcase2023_task2_baseline_ae

dcase2023_task2_evaluator

deep-sound-field-denoiser

det_afp

This is the official PyTorch impelementation of our paper "Robustizing Object Detection Networks Using Augmented Feature Pooling" (ACCV2022, Oral).

diff-eq-comput-zdd

An implementation of "Differentiable Equilibrium Computation with Decision Diagrams for Stackelberg Models of Combinatorial Congestion Games" in NeurIPS 2021.

ecl-isvr

P2P Distributed deep learning framework that runs on PyTorch.

edge-consensus-learning

P2P Distributed deep learning framework that runs on PyTorch.

eval-audio-repr

EVAR ~ Evaluation package for Audio Representations

fast-ecp-ecn

An implementation of "A Fast and Exact Evaluation Algorithm for the Expected Number of Connected Nodes: an Enhanced Network Reliability Measure" in IEEE INFOCOM 2023.

floor-padding-bo

generalized-domain-adaptation

japanese-dialog-transformers

Code for evaluating Japanese pretrained models provided by NTT Ltd.

japanese-long-term-chat

kmeansdocdata

Accelerating K-means clustering for document data sets with an architecture-friendly pruning method

learning-with-selective-forgetting

This is an official PyTorch impelementation of our paper "Learning with Selective Forgetting" (IJCAI21).

m2d

Masked Modeling Duo: Towards a Universal Audio Pre-training Framework

msm-mae

Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representations

permuton-induced-crp

Bayesian inference for Permuton-induced Chinese Restaurant Process (NeurIPS2021).