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20172026
most citedCompressing Recurrent Neural Network with Tensor Train

111 citations · 391 across the 44 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 1 cited

Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo Retrieval

Fan Yang, Yang Wu, Zheng Wang +3

Although sketch-to-photo retrieval has a wide range of applications, it is costly to obtain paired and rich-labeled ground truth. Differently, photo retrieval data is easier to acq…

cs.CL2022★ 9 cited

NusaCrowd: Open Source Initiative for Indonesian NLP Resources

Samuel Cahyawijaya, Holy Lovenia, Alham Fikri Aji +44

We present NusaCrowd, a collaborative initiative to collect and unify existing resources for Indonesian languages, including opening access to previously non-public resources. Thro…

cs.CV2022

Actor-identified Spatiotemporal Action Detection -- Detecting Who Is Doing What in Videos

Fan Yang, Norimichi Ukita, Sakriani Sakti +1

The success of deep learning on video Action Recognition (AR) has motivated researchers to progressively promote related tasks from the coarse level to the fine-grained level. Comp…

cs.SD2022★ 4 cited

Speech Artifact Removal from EEG Recordings of Spoken Word Production with Tensor Decomposition

Holy Lovenia, Hiroki Tanaka, Sakriani Sakti +2

Research about brain activities involving spoken word production is considerably underdeveloped because of the undiscovered characteristics of speech artifacts, which contaminate e…

cs.CL2022

Improved Consistency Training for Semi-Supervised Sequence-to-Sequence ASR via Speech Chain Reconstruction and Self-Transcribing

Heli Qi, Sashi Novitasari, Sakriani Sakti +1

Consistency regularization has recently been applied to semi-supervised sequence-to-sequence (S2S) automatic speech recognition (ASR). This principle encourages an ASR model to out…

cs.SD2022

Nix-TTS: Lightweight and End-to-End Text-to-Speech via Module-wise Distillation

Rendi Chevi, Radityo Eko Prasojo, Alham Fikri Aji +2

Several solutions for lightweight TTS have shown promising results. Still, they either rely on a hand-crafted design that reaches non-optimum size or use a neural architecture sear…