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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2,203.11926 | Focal Modulation Networks | ['Jianwei Yang', 'Chunyuan Li', 'Xiyang Dai', 'Lu Yuan', 'Jianfeng Gao'] | ['cs.CV', 'cs.AI', 'cs.LG'] | We propose focal modulation networks (FocalNets in short), where
self-attention (SA) is completely replaced by a focal modulation mechanism for
modeling token interactions in vision. Focal modulation comprises three
components: (i) hierarchical contextualization, implemented using a stack of
depth-wise convolutional la... | 2022-03-22T17:54:50Z | NeurIPS 2022 camera-ready extension | null | null | null | null | null | null | null | null | null |
2,203.11991 | Joint Feature Learning and Relation Modeling for Tracking: A One-Stream
Framework | ['Botao Ye', 'Hong Chang', 'Bingpeng Ma', 'Shiguang Shan', 'Xilin Chen'] | ['cs.CV'] | The current popular two-stream, two-stage tracking framework extracts the
template and the search region features separately and then performs relation
modeling, thus the extracted features lack the awareness of the target and have
limited target-background discriminability. To tackle the above issue, we
propose a nove... | 2022-03-22T18:37:11Z | Accepted by ECCV 2022 | null | null | null | null | null | null | null | null | null |
2,203.12252 | Few-shot Named Entity Recognition with Self-describing Networks | ['Jiawei Chen', 'Qing Liu', 'Hongyu Lin', 'Xianpei Han', 'Le Sun'] | ['cs.CL'] | Few-shot NER needs to effectively capture information from limited instances
and transfer useful knowledge from external resources. In this paper, we
propose a self-describing mechanism for few-shot NER, which can effectively
leverage illustrative instances and precisely transfer knowledge from external
resources by de... | 2022-03-23T07:56:27Z | Accepted to the main conference of ACL2022 | null | null | Few-shot Named Entity Recognition with Self-describing Networks | ['Jiawei Chen', 'Qing Liu', 'Hongyu Lin', 'Xianpei Han', 'Le Sun'] | 2,022 | Annual Meeting of the Association for Computational Linguistics | 46 | 49 | ['Computer Science'] |
2,203.12277 | Unified Structure Generation for Universal Information Extraction | ['Yaojie Lu', 'Qing Liu', 'Dai Dai', 'Xinyan Xiao', 'Hongyu Lin', 'Xianpei Han', 'Le Sun', 'Hua Wu'] | ['cs.CL'] | Information extraction suffers from its varying targets, heterogeneous
structures, and demand-specific schemas. In this paper, we propose a unified
text-to-structure generation framework, namely UIE, which can universally model
different IE tasks, adaptively generate targeted structures, and
collaboratively learn gener... | 2022-03-23T08:49:29Z | Accepted to the main conference of ACL2022 | null | null | null | null | null | null | null | null | null |
2,203.12574 | Mitigating Gender Bias in Distilled Language Models via Counterfactual
Role Reversal | ['Umang Gupta', 'Jwala Dhamala', 'Varun Kumar', 'Apurv Verma', 'Yada Pruksachatkun', 'Satyapriya Krishna', 'Rahul Gupta', 'Kai-Wei Chang', 'Greg Ver Steeg', 'Aram Galstyan'] | ['cs.CL', 'cs.LG'] | Language models excel at generating coherent text, and model compression
techniques such as knowledge distillation have enabled their use in
resource-constrained settings. However, these models can be biased in multiple
ways, including the unfounded association of male and female genders with
gender-neutral professions... | 2022-03-23T17:34:35Z | To appear in the Findings of ACL 2022 | null | null | null | null | null | null | null | null | null |
2,203.12602 | VideoMAE: Masked Autoencoders are Data-Efficient Learners for
Self-Supervised Video Pre-Training | ['Zhan Tong', 'Yibing Song', 'Jue Wang', 'Limin Wang'] | ['cs.CV'] | Pre-training video transformers on extra large-scale datasets is generally
required to achieve premier performance on relatively small datasets. In this
paper, we show that video masked autoencoders (VideoMAE) are data-efficient
learners for self-supervised video pre-training (SSVP). We are inspired by the
recent Image... | 2022-03-23T17:55:10Z | NeurIPS 2022 camera-ready version | null | null | null | null | null | null | null | null | null |
2,203.12691 | Learning to generate line drawings that convey geometry and semantics | ['Caroline Chan', 'Fredo Durand', 'Phillip Isola'] | ['cs.CV', 'cs.GR'] | This paper presents an unpaired method for creating line drawings from
photographs. Current methods often rely on high quality paired datasets to
generate line drawings. However, these datasets often have limitations due to
the subjects of the drawings belonging to a specific domain, or in the amount
of data collected.... | 2022-03-23T19:27:41Z | Corrected and added references | null | null | null | null | null | null | null | null | null |
2,203.13088 | Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized
Late Interactions using Enhanced Reduction | ['Sebastian Hofstätter', 'Omar Khattab', 'Sophia Althammer', 'Mete Sertkan', 'Allan Hanbury'] | ['cs.IR', 'cs.AI', 'cs.CL', 'cs.LG'] | Recent progress in neural information retrieval has demonstrated large gains
in effectiveness, while often sacrificing the efficiency and interpretability
of the neural model compared to classical approaches. This paper proposes
ColBERTer, a neural retrieval model using contextualized late interaction
(ColBERT) with en... | 2022-03-24T14:28:07Z | null | null | null | Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction | ['Sebastian Hofstätter', 'O. Khattab', 'Sophia Althammer', 'Mete Sertkan', 'A. Hanbury'] | 2,022 | International Conference on Information and Knowledge Management | 35 | 64 | ['Computer Science'] |
2,203.13209 | Direct parsing to sentiment graphs | ['David Samuel', 'Jeremy Barnes', 'Robin Kurtz', 'Stephan Oepen', 'Lilja Øvrelid', 'Erik Velldal'] | ['cs.CL'] | This paper demonstrates how a graph-based semantic parser can be applied to
the task of structured sentiment analysis, directly predicting sentiment graphs
from text. We advance the state of the art on 4 out of 5 standard benchmark
sets. We release the source code, models and predictions. | 2022-03-24T17:09:23Z | Accepted to ACL 2022 | null | null | Direct parsing to sentiment graphs | ['David Samuel', 'Jeremy Barnes', 'Robin Kurtz', 'S. Oepen', 'Lilja Ovrelid', 'Erik Velldal'] | 2,022 | Annual Meeting of the Association for Computational Linguistics | 9 | 29 | ['Computer Science'] |
2,203.13248 | Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer | ['Shuai Yang', 'Liming Jiang', 'Ziwei Liu', 'Chen Change Loy'] | ['cs.CV', 'cs.LG'] | Recent studies on StyleGAN show high performance on artistic portrait
generation by transfer learning with limited data. In this paper, we explore
more challenging exemplar-based high-resolution portrait style transfer by
introducing a novel DualStyleGAN with flexible control of dual styles of the
original face domain ... | 2022-03-24T17:57:11Z | CVPR 2022. Code: https://github.com/williamyang1991/DualStyleGAN
Project page: https://www.mmlab-ntu.com/project/dualstylegan/ | null | null | null | null | null | null | null | null | null |
2,203.13366 | Recommendation as Language Processing (RLP): A Unified Pretrain,
Personalized Prompt & Predict Paradigm (P5) | ['Shijie Geng', 'Shuchang Liu', 'Zuohui Fu', 'Yingqiang Ge', 'Yongfeng Zhang'] | ['cs.IR', 'cs.AI', 'cs.CL', 'cs.LG'] | For a long time, different recommendation tasks typically require designing
task-specific architectures and training objectives. As a result, it is hard to
transfer the learned knowledge and representations from one task to another,
thus restricting the generalization ability of existing recommendation
approaches, e.g.... | 2022-03-24T22:13:23Z | Accepted to ACM RecSys 2022. The arXiv version is more comprehensive | null | null | null | null | null | null | null | null | null |
2,203.13474 | CodeGen: An Open Large Language Model for Code with Multi-Turn Program
Synthesis | ['Erik Nijkamp', 'Bo Pang', 'Hiroaki Hayashi', 'Lifu Tu', 'Huan Wang', 'Yingbo Zhou', 'Silvio Savarese', 'Caiming Xiong'] | ['cs.LG', 'cs.CL', 'cs.PL'] | Program synthesis strives to generate a computer program as a solution to a
given problem specification, expressed with input-output examples or natural
language descriptions. The prevalence of large language models advances the
state-of-the-art for program synthesis, though limited training resources and
data impede o... | 2022-03-25T06:55:15Z | null | null | null | CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis | ['Erik Nijkamp', 'Bo Pang', 'Hiroaki Hayashi', 'Lifu Tu', 'Haiquan Wang', 'Yingbo Zhou', 'S. Savarese', 'Caiming Xiong'] | 2,022 | International Conference on Learning Representations | 1,057 | 52 | ['Computer Science'] |
2,203.13602 | ZS4IE: A toolkit for Zero-Shot Information Extraction with simple
Verbalizations | ['Oscar Sainz', 'Haoling Qiu', 'Oier Lopez de Lacalle', 'Eneko Agirre', 'Bonan Min'] | ['cs.CL'] | The current workflow for Information Extraction (IE) analysts involves the
definition of the entities/relations of interest and a training corpus with
annotated examples. In this demonstration we introduce a new workflow where the
analyst directly verbalizes the entities/relations, which are then used by a
Textual Enta... | 2022-03-25T12:02:53Z | Accepted at NAACL2022 Demo track | null | null | null | null | null | null | null | null | null |
2,203.13778 | L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and
BERT models | ['Abhishek Velankar', 'Hrushikesh Patil', 'Amol Gore', 'Shubham Salunke', 'Raviraj Joshi'] | ['cs.CL', 'cs.LG'] | Social media platforms are used by a large number of people prominently to
express their thoughts and opinions. However, these platforms have contributed
to a substantial amount of hateful and abusive content as well. Therefore, it
is important to curb the spread of hate speech on these platforms. In India,
Marathi is ... | 2022-03-25T17:00:33Z | null | null | null | L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and BERT Models | ['Abhishek Velankar', 'H. Patil', 'Amol Gore', 'Shubham Salunke', 'Raviraj Joshi'] | 2,022 | Workshop on Trolling, Aggression and Cyberbullying | 42 | 30 | ['Computer Science'] |
2,203.14093 | MQDD: Pre-training of Multimodal Question Duplicity Detection for
Software Engineering Domain | ['Jan Pašek', 'Jakub Sido', 'Miloslav Konopík', 'Ondřej Pražák'] | ['cs.CL', 'cs.LG', 'cs.PL', 'cs.SE'] | This work proposes a new pipeline for leveraging data collected on the Stack
Overflow website for pre-training a multimodal model for searching duplicates
on question answering websites. Our multimodal model is trained on question
descriptions and source codes in multiple programming languages. We design two
new learni... | 2022-03-26T15:01:26Z | null | null | null | null | null | null | null | null | null | null |
2,203.14343 | Diagonal State Spaces are as Effective as Structured State Spaces | ['Ankit Gupta', 'Albert Gu', 'Jonathan Berant'] | ['cs.LG', 'cs.CL'] | Modeling long range dependencies in sequential data is a fundamental step
towards attaining human-level performance in many modalities such as text,
vision, audio and video. While attention-based models are a popular and
effective choice in modeling short-range interactions, their performance on
tasks requiring long ra... | 2022-03-27T16:30:33Z | updated version with simpler DSS variants, RNN view for
autoregressive decoding, ablation analysis, analysis of trained model
parameters and kernels | null | null | Diagonal State Spaces are as Effective as Structured State Spaces | ['Ankit Gupta', 'Jonathan Berant'] | 2,022 | Neural Information Processing Systems | 316 | 34 | ['Computer Science'] |
2,203.1436 | Observation-Centric SORT: Rethinking SORT for Robust Multi-Object
Tracking | ['Jinkun Cao', 'Jiangmiao Pang', 'Xinshuo Weng', 'Rawal Khirodkar', 'Kris Kitani'] | ['cs.CV'] | Kalman filter (KF) based methods for multi-object tracking (MOT) make an
assumption that objects move linearly. While this assumption is acceptable for
very short periods of occlusion, linear estimates of motion for prolonged time
can be highly inaccurate. Moreover, when there is no measurement available to
update Kalm... | 2022-03-27T17:57:08Z | Accepted by CVPR 2023. 8 pages + 10 pages of appendix. Renamed OOS as
Observation-centric Re-Update (ORU) | null | null | Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking | ['Jinkun Cao', 'Xinshuo Weng', 'Rawal Khirodkar', 'Jiangmiao Pang', 'Kris Kitani'] | 2,022 | Computer Vision and Pattern Recognition | 505 | 91 | ['Computer Science'] |
2,203.14371 | MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical
domain Question Answering | ['Ankit Pal', 'Logesh Kumar Umapathi', 'Malaikannan Sankarasubbu'] | ['cs.CL', 'cs.AI', 'cs.LG'] | This paper introduces MedMCQA, a new large-scale, Multiple-Choice Question
Answering (MCQA) dataset designed to address real-world medical entrance exam
questions. More than 194k high-quality AIIMS \& NEET PG entrance exam MCQs
covering 2.4k healthcare topics and 21 medical subjects are collected with an
average token ... | 2022-03-27T18:59:16Z | Proceedings of Machine Learning Research (PMLR), ACM Conference on
Health, Inference, and Learning (CHIL) 2022 | ACM Conference on Health, Inference, and Learning (CHIL) 2022 | null | MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering | ['Ankit Pal', 'Logesh Kumar Umapathi', 'Malaikannan Sankarasubbu'] | 2,022 | ACM Conference on Health, Inference, and Learning | 354 | 29 | ['Computer Science'] |
2,203.14415 | Mugs: A Multi-Granular Self-Supervised Learning Framework | ['Pan Zhou', 'Yichen Zhou', 'Chenyang Si', 'Weihao Yu', 'Teck Khim Ng', 'Shuicheng Yan'] | ['cs.CV', 'cs.AI'] | In self-supervised learning, multi-granular features are heavily desired
though rarely investigated, as different downstream tasks (e.g., general and
fine-grained classification) often require different or multi-granular
features, e.g.~fine- or coarse-grained one or their mixture. In this work, for
the first time, we p... | 2022-03-27T23:42:05Z | code and models are available at https://github.com/sail-sg/mugs | null | null | null | null | null | null | null | null | null |
2,203.15243 | Fine-tuning Image Transformers using Learnable Memory | ['Mark Sandler', 'Andrey Zhmoginov', 'Max Vladymyrov', 'Andrew Jackson'] | ['cs.CV'] | In this paper we propose augmenting Vision Transformer models with learnable
memory tokens. Our approach allows the model to adapt to new tasks, using few
parameters, while optionally preserving its capabilities on previously learned
tasks. At each layer we introduce a set of learnable embedding vectors that
provide co... | 2022-03-29T05:26:20Z | CVPR 2022, to appear | null | null | null | null | null | null | null | null | null |
2,203.15375 | A Style-aware Discriminator for Controllable Image Translation | ['Kunhee Kim', 'Sanghun Park', 'Eunyeong Jeon', 'Taehun Kim', 'Daijin Kim'] | ['cs.CV'] | Current image-to-image translations do not control the output domain beyond
the classes used during training, nor do they interpolate between different
domains well, leading to implausible results. This limitation largely arises
because labels do not consider the semantic distance. To mitigate such
problems, we propose... | 2022-03-29T09:13:33Z | 2022 CVPR | null | null | null | null | null | null | null | null | null |
2,203.15556 | Training Compute-Optimal Large Language Models | ['Jordan Hoffmann', 'Sebastian Borgeaud', 'Arthur Mensch', 'Elena Buchatskaya', 'Trevor Cai', 'Eliza Rutherford', 'Diego de Las Casas', 'Lisa Anne Hendricks', 'Johannes Welbl', 'Aidan Clark', 'Tom Hennigan', 'Eric Noland', 'Katie Millican', 'George van den Driessche', 'Bogdan Damoc', 'Aurelia Guy', 'Simon Osindero', 'K... | ['cs.CL', 'cs.LG'] | We investigate the optimal model size and number of tokens for training a
transformer language model under a given compute budget. We find that current
large language models are significantly undertrained, a consequence of the
recent focus on scaling language models whilst keeping the amount of training
data constant. ... | 2022-03-29T13:38:03Z | null | null | null | null | null | null | null | null | null | null |
2,203.1561 | LightHuBERT: Lightweight and Configurable Speech Representation Learning
with Once-for-All Hidden-Unit BERT | ['Rui Wang', 'Qibing Bai', 'Junyi Ao', 'Long Zhou', 'Zhixiang Xiong', 'Zhihua Wei', 'Yu Zhang', 'Tom Ko', 'Haizhou Li'] | ['eess.AS', 'cs.CL', 'cs.LG', 'cs.SD'] | Self-supervised speech representation learning has shown promising results in
various speech processing tasks. However, the pre-trained models, e.g., HuBERT,
are storage-intensive Transformers, limiting their scope of applications under
low-resource settings. To this end, we propose LightHuBERT, a once-for-all
Transfor... | 2022-03-29T14:20:55Z | 5 pages, 2 figures, accepted to Insterspeech 2022 | null | null | LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT | ['Rui Wang', 'Qibing Bai', 'Junyi Ao', 'Long Zhou', 'Zhixiang Xiong', 'Zhihua Wei', 'Yu Zhang', 'Tom Ko', 'Haizhou Li'] | 2,022 | Interspeech | 65 | 33 | ['Computer Science', 'Engineering'] |
2,203.15827 | LinkBERT: Pretraining Language Models with Document Links | ['Michihiro Yasunaga', 'Jure Leskovec', 'Percy Liang'] | ['cs.CL', 'cs.LG'] | Language model (LM) pretraining can learn various knowledge from text
corpora, helping downstream tasks. However, existing methods such as BERT model
a single document, and do not capture dependencies or knowledge that span
across documents. In this work, we propose LinkBERT, an LM pretraining method
that leverages lin... | 2022-03-29T18:01:24Z | Published at ACL 2022. Code, data, and pretrained models are
available at https://github.com/michiyasunaga/LinkBERT | null | null | null | null | null | null | null | null | null |
2,203.15835 | ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment | ['Ali Pourramezan Fard', 'Mohammad H. Mahoor'] | ['cs.CV'] | Although deep neural networks have achieved reasonable accuracy in solving
face alignment, it is still a challenging task, specifically when we deal with
facial images, under occlusion, or extreme head poses. Heatmap-based Regression
(HBR) and Coordinate-based Regression (CBR) are among the two mainly used
methods for ... | 2022-03-29T18:08:46Z | Accepted in International Conference on Pattern Recognition (ICPR)
2022 | null | null | ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment | ['A. P. Fard', 'M. Mahoor'] | 2,022 | International Conference on Pattern Recognition | 12 | 63 | ['Computer Science'] |
2,203.15974 | Multi-scale Speaker Diarization with Dynamic Scale Weighting | ['Tae Jin Park', 'Nithin Rao Koluguri', 'Jagadeesh Balam', 'Boris Ginsburg'] | ['eess.AS', 'cs.CL'] | Speaker diarization systems are challenged by a trade-off between the
temporal resolution and the fidelity of the speaker representation. By
obtaining a superior temporal resolution with an enhanced accuracy, a
multi-scale approach is a way to cope with such a trade-off. In this paper, we
propose a more advanced multi-... | 2022-03-30T01:26:31Z | Submitted to Interspeech 2022 | null | null | Multi-scale Speaker Diarization with Dynamic Scale Weighting | ['Tae Jin Park', 'N. Koluguri', 'Jagadeesh Balam', 'Boris Ginsburg'] | 2,022 | Interspeech | 19 | 21 | ['Computer Science', 'Engineering'] |
2,203.16169 | Detecting Unassimilated Borrowings in Spanish: An Annotated Corpus and
Approaches to Modeling | ['Elena Álvarez-Mellado', 'Constantine Lignos'] | ['cs.CL'] | This work presents a new resource for borrowing identification and analyzes
the performance and errors of several models on this task. We introduce a new
annotated corpus of Spanish newswire rich in unassimilated lexical borrowings
-- words from one language that are introduced into another without
orthographic adaptat... | 2022-03-30T09:46:51Z | 21 pages, accepted at ACL 2022 | null | null | null | null | null | null | null | null | null |
2,203.16804 | BRIO: Bringing Order to Abstractive Summarization | ['Yixin Liu', 'Pengfei Liu', 'Dragomir Radev', 'Graham Neubig'] | ['cs.CL'] | Abstractive summarization models are commonly trained using maximum
likelihood estimation, which assumes a deterministic (one-point) target
distribution in which an ideal model will assign all the probability mass to
the reference summary. This assumption may lead to performance degradation
during inference, where the ... | 2022-03-31T05:19:38Z | ACL 2022 | null | null | null | null | null | null | null | null | null |
2,203.16822 | How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An
Extensive Benchmark on Air Traffic Control Communications | ['Juan Zuluaga-Gomez', 'Amrutha Prasad', 'Iuliia Nigmatulina', 'Saeed Sarfjoo', 'Petr Motlicek', 'Matthias Kleinert', 'Hartmut Helmke', 'Oliver Ohneiser', 'Qingran Zhan'] | ['eess.AS', 'cs.CL', 'cs.LG'] | Recent work on self-supervised pre-training focus on leveraging large-scale
unlabeled speech data to build robust end-to-end (E2E) acoustic models (AM)
that can be later fine-tuned on downstream tasks e.g., automatic speech
recognition (ASR). Yet, few works investigated the impact on performance when
the data propertie... | 2022-03-31T06:10:42Z | To be published in the 2022 IEEE Spoken Language Technology Workshop
(SLT) (SLT 2022) | null | null | null | null | null | null | null | null | null |
2,203.16838 | NeuFA: Neural Network Based End-to-End Forced Alignment with
Bidirectional Attention Mechanism | ['Jingbei Li', 'Yi Meng', 'Zhiyong Wu', 'Helen Meng', 'Qiao Tian', 'Yuping Wang', 'Yuxuan Wang'] | ['cs.SD', 'eess.AS'] | Although deep learning and end-to-end models have been widely used and shown
superiority in automatic speech recognition (ASR) and text-to-speech (TTS)
synthesis, state-of-the-art forced alignment (FA) models are still based on
hidden Markov model (HMM). HMM has limited view of contextual information and
is developed w... | 2022-03-31T06:45:39Z | Accepted by ICASSP 2022 | null | null | null | null | null | null | null | null | null |
2,204.003 | Interpretable RNA Foundation Model from Unannotated Data for Highly
Accurate RNA Structure and Function Predictions | ['Jiayang Chen', 'Zhihang Hu', 'Siqi Sun', 'Qingxiong Tan', 'Yixuan Wang', 'Qinze Yu', 'Licheng Zong', 'Liang Hong', 'Jin Xiao', 'Tao Shen', 'Irwin King', 'Yu Li'] | ['q-bio.QM'] | Non-coding RNA structure and function are essential to understanding various
biological processes, such as cell signaling, gene expression, and
post-transcriptional regulations. These are all among the core problems in the
RNA field. With the rapid growth of sequencing technology, we have accumulated
a massive amount o... | 2022-04-01T09:10:31Z | null | null | null | null | null | null | null | null | null | null |
2,204.00391 | Automatic Biomedical Term Clustering by Learning Fine-grained Term
Representations | ['Sihang Zeng', 'Zheng Yuan', 'Sheng Yu'] | ['cs.CL'] | Term clustering is important in biomedical knowledge graph construction.
Using similarities between terms embedding is helpful for term clustering.
State-of-the-art term embeddings leverage pretrained language models to encode
terms, and use synonyms and relation knowledge from knowledge graphs to guide
contrastive lea... | 2022-04-01T12:30:58Z | Accepted by BioNLP 2022, Short Paper | null | null | null | null | null | null | null | null | null |
2,204.00408 | Structured Pruning Learns Compact and Accurate Models | ['Mengzhou Xia', 'Zexuan Zhong', 'Danqi Chen'] | ['cs.CL', 'cs.LG'] | The growing size of neural language models has led to increased attention in
model compression. The two predominant approaches are pruning, which gradually
removes weights from a pre-trained model, and distillation, which trains a
smaller compact model to match a larger one. Pruning methods can significantly
reduce the... | 2022-04-01T13:09:56Z | Accepted to ACL 2022; The code and models are available at
https://github.com/princeton-nlp/CoFiPruning | null | null | Structured Pruning Learns Compact and Accurate Models | ['Mengzhou Xia', 'Zexuan Zhong', 'Danqi Chen'] | 2,022 | Annual Meeting of the Association for Computational Linguistics | 189 | 61 | ['Computer Science'] |
2,204.00618 | ASR data augmentation in low-resource settings using cross-lingual
multi-speaker TTS and cross-lingual voice conversion | ['Edresson Casanova', 'Christopher Shulby', 'Alexander Korolev', 'Arnaldo Candido Junior', 'Anderson da Silva Soares', 'Sandra Aluísio', 'Moacir Antonelli Ponti'] | ['eess.AS', 'cs.CL', 'cs.SD'] | We explore cross-lingual multi-speaker speech synthesis and cross-lingual
voice conversion applied to data augmentation for automatic speech recognition
(ASR) systems in low/medium-resource scenarios. Through extensive experiments,
we show that our approach permits the application of speech synthesis and voice
conversi... | 2022-03-29T11:55:30Z | This paper was accepted at INTERSPEECH 2023 | null | null | null | null | null | null | null | null | null |
2,204.00679 | Learning Audio-Video Modalities from Image Captions | ['Arsha Nagrani', 'Paul Hongsuck Seo', 'Bryan Seybold', 'Anja Hauth', 'Santiago Manen', 'Chen Sun', 'Cordelia Schmid'] | ['cs.CV', 'cs.MM', 'cs.SD', 'eess.AS'] | A major challenge in text-video and text-audio retrieval is the lack of
large-scale training data. This is unlike image-captioning, where datasets are
in the order of millions of samples. To close this gap we propose a new video
mining pipeline which involves transferring captions from image captioning
datasets to vide... | 2022-04-01T19:48:18Z | null | null | null | null | null | null | null | null | null | null |
2,204.00964 | AdaFace: Quality Adaptive Margin for Face Recognition | ['Minchul Kim', 'Anil K. Jain', 'Xiaoming Liu'] | ['cs.CV'] | Recognition in low quality face datasets is challenging because facial
attributes are obscured and degraded. Advances in margin-based loss functions
have resulted in enhanced discriminability of faces in the embedding space.
Further, previous studies have studied the effect of adaptive losses to assign
more importance ... | 2022-04-03T01:23:41Z | Published in CVPR2022 (Oral) | null | null | AdaFace: Quality Adaptive Margin for Face Recognition | ['Minchul Kim', 'Anil K. Jain', 'Xiaoming Liu'] | 2,022 | Computer Vision and Pattern Recognition | 411 | 50 | ['Computer Science'] |
2,204.01175 | A Part-of-Speech Tagger for Yiddish | ['Seth Kulick', 'Neville Ryant', 'Beatrice Santorini', 'Joel Wallenberg', 'Assaf Urieli'] | ['cs.CL'] | We describe the construction and evaluation of a part-of-speech tagger for
Yiddish. This is the first step in a larger project of automatically assigning
part-of-speech tags and syntactic structure to Yiddish text for purposes of
linguistic research. We combine two resources for the current work - an
80K-word subset of... | 2022-04-03T22:53:36Z | null | null | null | A Part-of-Speech Tagger for Yiddish: First Steps in Tagging the Yiddish Book Center Corpus | ['S. Kulick', 'Neville Ryant', 'Beatrice Santorini', 'Joel C. Wallenberg'] | 2,022 | arXiv.org | 0 | 62 | ['Computer Science'] |
2,204.01397 | A Study of Gender Impact in Self-supervised Models for Speech-to-Text
Systems | ['Marcely Zanon Boito', 'Laurent Besacier', 'Natalia Tomashenko', 'Yannick Estève'] | ['cs.CL', 'cs.SD', 'eess.AS'] | Self-supervised models for speech processing emerged recently as popular
foundation blocks in speech processing pipelines. These models are pre-trained
on unlabeled audio data and then used in speech processing downstream tasks
such as automatic speech recognition (ASR) or speech translation (ST). Since
these models ar... | 2022-04-04T11:28:19Z | Accepted to INTERSPEECH 2022 (Special session Inclusive and Fair
Speech Technologies) | null | null | A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems | ['Marcely Zanon Boito', 'L. Besacier', 'N. Tomashenko', 'Y. Estève'] | 2,022 | Interspeech | 19 | 46 | ['Computer Science', 'Engineering'] |
2,204.01697 | MaxViT: Multi-Axis Vision Transformer | ['Zhengzhong Tu', 'Hossein Talebi', 'Han Zhang', 'Feng Yang', 'Peyman Milanfar', 'Alan Bovik', 'Yinxiao Li'] | ['cs.CV', 'cs.AI', 'cs.LG'] | Transformers have recently gained significant attention in the computer
vision community. However, the lack of scalability of self-attention mechanisms
with respect to image size has limited their wide adoption in state-of-the-art
vision backbones. In this paper we introduce an efficient and scalable
attention model we... | 2022-04-04T17:59:44Z | ECCV 2022; code: https://github.com/google-research/maxvit v1:
initials; v2: added GAN visuals; v3: fixed ImageNet-1k acc typos for Maxvit @
384 | null | null | MaxViT: Multi-Axis Vision Transformer | ['Zhengzhong Tu', 'Hossein Talebi', 'Han Zhang', 'Feng Yang', 'P. Milanfar', 'A. Bovik', 'Yinxiao Li'] | 2,022 | European Conference on Computer Vision | 676 | 112 | ['Computer Science'] |
2,204.02311 | PaLM: Scaling Language Modeling with Pathways | ['Aakanksha Chowdhery', 'Sharan Narang', 'Jacob Devlin', 'Maarten Bosma', 'Gaurav Mishra', 'Adam Roberts', 'Paul Barham', 'Hyung Won Chung', 'Charles Sutton', 'Sebastian Gehrmann', 'Parker Schuh', 'Kensen Shi', 'Sasha Tsvyashchenko', 'Joshua Maynez', 'Abhishek Rao', 'Parker Barnes', 'Yi Tay', 'Noam Shazeer', 'Vinodkuma... | ['cs.CL'] | Large language models have been shown to achieve remarkable performance
across a variety of natural language tasks using few-shot learning, which
drastically reduces the number of task-specific training examples needed to
adapt the model to a particular application. To further our understanding of
the impact of scale o... | 2022-04-05T16:11:45Z | null | null | null | null | null | null | null | null | null | null |
2,204.02491 | Text2LIVE: Text-Driven Layered Image and Video Editing | ['Omer Bar-Tal', 'Dolev Ofri-Amar', 'Rafail Fridman', 'Yoni Kasten', 'Tali Dekel'] | ['cs.CV'] | We present a method for zero-shot, text-driven appearance manipulation in
natural images and videos. Given an input image or video and a target text
prompt, our goal is to edit the appearance of existing objects (e.g., object's
texture) or augment the scene with visual effects (e.g., smoke, fire) in a
semantically mean... | 2022-04-05T21:17:34Z | Project page: https://text2live.github.io | null | null | Text2LIVE: Text-Driven Layered Image and Video Editing | ['Omer Bar-Tal', 'Dolev Ofri-Amar', 'Rafail Fridman', 'Yoni Kasten', 'Tali Dekel'] | 2,022 | European Conference on Computer Vision | 321 | 58 | ['Computer Science'] |
2,204.02685 | SecureBERT: A Domain-Specific Language Model for Cybersecurity | ['Ehsan Aghaei', 'Xi Niu', 'Waseem Shadid', 'Ehab Al-Shaer'] | ['cs.CL', 'cs.AI', 'cs.CR'] | Natural Language Processing (NLP) has recently gained wide attention in
cybersecurity, particularly in Cyber Threat Intelligence (CTI) and cyber
automation. Increased connection and automation have revolutionized the world's
economic and cultural infrastructures, while they have introduced risks in
terms of cyber attac... | 2022-04-06T09:17:21Z | This is the initial draft of this work and it may contain errors and
typos. The revised version has already been submitted to a venue | null | null | SecureBERT: A Domain-Specific Language Model for Cybersecurity | ['Ehsan Aghaei', 'Xi Niu', 'W. Shadid', 'E. Al-Shaer'] | 2,022 | Security and Privacy in Communication Networks | 98 | 34 | ['Computer Science'] |
2,204.02932 | An Empirical Study of End-to-End Temporal Action Detection | ['Xiaolong Liu', 'Song Bai', 'Xiang Bai'] | ['cs.CV'] | Temporal action detection (TAD) is an important yet challenging task in video
understanding. It aims to simultaneously predict the semantic label and the
temporal interval of every action instance in an untrimmed video. Rather than
end-to-end learning, most existing methods adopt a head-only learning paradigm,
where th... | 2022-04-06T16:46:30Z | Accepted by CVPR 2022. 13 pages, including supplementary | null | null | null | null | null | null | null | null | null |
2,204.02952 | Inducing Positive Perspectives with Text Reframing | ['Caleb Ziems', 'Minzhi Li', 'Anthony Zhang', 'Diyi Yang'] | ['cs.CL'] | Sentiment transfer is one popular example of a text style transfer task,
where the goal is to reverse the sentiment polarity of a text. With a sentiment
reversal comes also a reversal in meaning. We introduce a different but related
task called positive reframing in which we neutralize a negative point of view
and gene... | 2022-04-06T17:37:52Z | ACL 2022 main conference | null | null | null | null | null | null | null | null | null |
2,204.02967 | Enhanced Direct Speech-to-Speech Translation Using Self-supervised
Pre-training and Data Augmentation | ['Sravya Popuri', 'Peng-Jen Chen', 'Changhan Wang', 'Juan Pino', 'Yossi Adi', 'Jiatao Gu', 'Wei-Ning Hsu', 'Ann Lee'] | ['cs.CL', 'cs.SD', 'eess.AS'] | Direct speech-to-speech translation (S2ST) models suffer from data scarcity
issues as there exists little parallel S2ST data, compared to the amount of
data available for conventional cascaded systems that consist of automatic
speech recognition (ASR), machine translation (MT), and text-to-speech (TTS)
synthesis. In th... | 2022-04-06T17:59:22Z | Accepted to be published in the Proceedings of Interspeech 2022 | null | null | Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation | ['Sravya Popuri', 'Peng-Jen Chen', 'Changhan Wang', 'J. Pino', 'Yossi Adi', 'Jiatao Gu', 'Wei-Ning Hsu', 'Ann Lee'] | 2,022 | Interspeech | 58 | 53 | ['Computer Science', 'Engineering'] |
2,204.03251 | Towards Automatic Construction of Filipino WordNet: Word Sense Induction
and Synset Induction Using Sentence Embeddings | ['Dan John Velasco', 'Axel Alba', 'Trisha Gail Pelagio', 'Bryce Anthony Ramirez', 'Unisse Chua', 'Briane Paul Samson', 'Jan Christian Blaise Cruz', 'Charibeth Cheng'] | ['cs.CL'] | Wordnets are indispensable tools for various natural language processing
applications. Unfortunately, wordnets get outdated, and producing or updating
wordnets can be slow and costly in terms of time and resources. This problem
intensifies for low-resource languages. This study proposes a method for word
sense inductio... | 2022-04-07T06:50:37Z | To appear in SEALP 2023. Formerly titled "Automatic WordNet
Construction using Word Sense Induction through Sentence Embeddings" | null | null | null | null | null | null | null | null | null |
2,204.03293 | CoCoSoDa: Effective Contrastive Learning for Code Search | ['Ensheng Shi', 'Yanlin Wang', 'Wenchao Gu', 'Lun Du', 'Hongyu Zhang', 'Shi Han', 'Dongmei Zhang', 'Hongbin Sun'] | ['cs.SE', 'cs.AI', 'cs.LG'] | Code search aims to retrieve semantically relevant code snippets for a given
natural language query. Recently, many approaches employing contrastive
learning have shown promising results on code representation learning and
greatly improved the performance of code search. However, there is still a lot
of room for improv... | 2022-04-07T08:49:27Z | Accepted by ICSE 2023 (The 45th International Conference on Software
Engineering) | null | null | null | null | null | null | null | null | null |
2,204.03465 | BERTuit: Understanding Spanish language in Twitter through a native
transformer | ['Javier Huertas-Tato', 'Alejandro Martin', 'David Camacho'] | ['cs.CL', 'cs.LG'] | The appearance of complex attention-based language models such as BERT,
Roberta or GPT-3 has allowed to address highly complex tasks in a plethora of
scenarios. However, when applied to specific domains, these models encounter
considerable difficulties. This is the case of Social Networks such as Twitter,
an ever-chang... | 2022-04-07T14:28:51Z | Support: 1) BBVA FOUNDATION - CIVIC, 2) Spanish Ministry of Science
and Innovation - FightDIS (PID2020-117263GB-100) and XAI-Disinfodemics
(PLEC2021-007681), 3) Comunidad Autonoma de Madrid - S2018/TCS-4566, 4)
European Comission - IBERIFIER (2020-EU-IA-0252), 5) Digital Future Society
(Mobile World Capital Bar... | null | null | BERTuit: Understanding Spanish language in Twitter through a native transformer | ['Javier Huertas-Tato', 'Alejandro Martín', 'David Camacho'] | 2,022 | arXiv.org | 9 | 40 | ['Computer Science'] |
2,204.03475 | Solving ImageNet: a Unified Scheme for Training any Backbone to Top
Results | ['Tal Ridnik', 'Hussam Lawen', 'Emanuel Ben-Baruch', 'Asaf Noy'] | ['cs.CV', 'cs.LG'] | ImageNet serves as the primary dataset for evaluating the quality of
computer-vision models. The common practice today is training each architecture
with a tailor-made scheme, designed and tuned by an expert. In this paper, we
present a unified scheme for training any backbone on ImageNet. The scheme,
named USI (Unifie... | 2022-04-07T14:43:58Z | null | null | null | null | null | null | null | null | null | null |
2,204.03645 | DaViT: Dual Attention Vision Transformers | ['Mingyu Ding', 'Bin Xiao', 'Noel Codella', 'Ping Luo', 'Jingdong Wang', 'Lu Yuan'] | ['cs.CV'] | In this work, we introduce Dual Attention Vision Transformers (DaViT), a
simple yet effective vision transformer architecture that is able to capture
global context while maintaining computational efficiency. We propose
approaching the problem from an orthogonal angle: exploiting self-attention
mechanisms with both "sp... | 2022-04-07T17:59:32Z | null | null | null | DaViT: Dual Attention Vision Transformers | ['Mingyu Ding', 'Bin Xiao', 'N. Codella', 'P. Luo', 'Jingdong Wang', 'Lu Yuan'] | 2,022 | European Conference on Computer Vision | 255 | 87 | ['Computer Science'] |
2,204.03905 | BioBART: Pretraining and Evaluation of A Biomedical Generative Language
Model | ['Hongyi Yuan', 'Zheng Yuan', 'Ruyi Gan', 'Jiaxing Zhang', 'Yutao Xie', 'Sheng Yu'] | ['cs.CL'] | Pretrained language models have served as important backbones for natural
language processing. Recently, in-domain pretraining has been shown to benefit
various domain-specific downstream tasks. In the biomedical domain, natural
language generation (NLG) tasks are of critical importance, while understudied.
Approaching... | 2022-04-08T08:07:42Z | Accepted by BioNLP 2022, Long Paper | null | null | BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model | ['Hongyi Yuan', 'Zheng Yuan', 'Ruyi Gan', 'Jiaxing Zhang', 'Yutao Xie', 'Sheng Yu'] | 2,022 | Workshop on Biomedical Natural Language Processing | 132 | 80 | ['Computer Science'] |
2,204.03951 | RuBioRoBERTa: a pre-trained biomedical language model for Russian
language biomedical text mining | ['Alexander Yalunin', 'Alexander Nesterov', 'Dmitriy Umerenkov'] | ['cs.CL', 'cs.AI'] | This paper presents several BERT-based models for Russian language biomedical
text mining (RuBioBERT, RuBioRoBERTa). The models are pre-trained on a corpus
of freely available texts in the Russian biomedical domain. With this
pre-training, our models demonstrate state-of-the-art results on RuMedBench -
Russian medical ... | 2022-04-08T09:18:59Z | null | null | null | RuBioRoBERTa: a pre-trained biomedical language model for Russian language biomedical text mining | ['Alexander Yalunin', 'Alexander Nesterov', 'Dmitriy Umerenkov'] | 2,022 | arXiv.org | 5 | 7 | ['Computer Science'] |
2,204.04153 | Particle Video Revisited: Tracking Through Occlusions Using Point
Trajectories | ['Adam W. Harley', 'Zhaoyuan Fang', 'Katerina Fragkiadaki'] | ['cs.CV'] | Tracking pixels in videos is typically studied as an optical flow estimation
problem, where every pixel is described with a displacement vector that locates
it in the next frame. Even though wider temporal context is freely available,
prior efforts to take this into account have yielded only small gains over
2-frame me... | 2022-04-08T16:05:48Z | null | null | null | null | null | null | null | null | null | null |
2,204.04353 | Should we tweet this? Generative response modeling for predicting
reception of public health messaging on Twitter | ['Abraham Sanders', 'Debjani Ray-Majumder', 'John S. Erickson', 'Kristin P. Bennett'] | ['cs.CL', 'cs.AI', 'cs.CY', 'I.2.7'] | The way people respond to messaging from public health organizations on
social media can provide insight into public perceptions on critical health
issues, especially during a global crisis such as COVID-19. It could be
valuable for high-impact organizations such as the US Centers for Disease
Control and Prevention (CD... | 2022-04-09T01:56:46Z | Accepted at ACM WebSci 2022 | null | 10.1145/3501247.3531574 | Should we tweet this? Generative response modeling for predicting reception of public health messaging on Twitter | ['Abraham Sanders', 'Debjani Ray-Majumder', 'John S. Erickson', 'Kristin P. Bennett'] | 2,022 | Web Science Conference | 3 | 28 | ['Computer Science'] |
2,204.04521 | Benchmarking for Public Health Surveillance tasks on Social Media with a
Domain-Specific Pretrained Language Model | ['Usman Naseem', 'Byoung Chan Lee', 'Matloob Khushi', 'Jinman Kim', 'Adam G. Dunn'] | ['cs.CL'] | A user-generated text on social media enables health workers to keep track of
information, identify possible outbreaks, forecast disease trends, monitor
emergency cases, and ascertain disease awareness and response to official
health correspondence. This exchange of health information on social media has
been regarded ... | 2022-04-09T18:01:18Z | Accepted @ ACL2022 Workshop: The First Workshop on Efficient
Benchmarking in NLP | null | null | Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model | ['Usman Naseem', 'Byoung Chan Lee', 'Matloob Khushi', 'Jinman Kim', 'A. Dunn'] | 2,022 | NLPPOWER | 33 | 47 | ['Computer Science'] |
2,204.04541 | KOBEST: Korean Balanced Evaluation of Significant Tasks | ['Dohyeong Kim', 'Myeongjun Jang', 'Deuk Sin Kwon', 'Eric Davis'] | ['cs.CL'] | A well-formulated benchmark plays a critical role in spurring advancements in
the natural language processing (NLP) field, as it allows objective and precise
evaluation of diverse models. As modern language models (LMs) have become more
elaborate and sophisticated, more difficult benchmarks that require linguistic
know... | 2022-04-09T20:13:51Z | 9 pages | null | null | null | null | null | null | null | null | null |
2,204.04611 | Decay No More: A Persistent Twitter Dataset for Learning Social Meaning | ['Chiyu Zhang', 'Muhammad Abdul-Mageed', 'El Moatez Billah Nagoudi'] | ['cs.CL', 'cs.AI'] | With the proliferation of social media, many studies resort to social media
to construct datasets for developing social meaning understanding systems. For
the popular case of Twitter, most researchers distribute tweet IDs without the
actual text contents due to the data distribution policy of the platform. One
issue is... | 2022-04-10T06:07:54Z | 1st Workshop on Novel Evaluation Approaches for Text Classification
Systems on Social Media (NEATCLasS) colocated at ICWSM 2022. arXiv admin
note: text overlap with arXiv:2108.00356 | null | null | Decay No More: A Persistent Twitter Dataset for Learning Social Meaning | ['Chiyu Zhang', 'Muhammad Abdul-Mageed', 'El Moatez Billah Nagoudi'] | 2,022 | ICWSM Workshops | 3 | 35 | ['Computer Science'] |
2,204.04676 | Simple Baselines for Image Restoration | ['Liangyu Chen', 'Xiaojie Chu', 'Xiangyu Zhang', 'Jian Sun'] | ['cs.CV'] | Although there have been significant advances in the field of image
restoration recently, the system complexity of the state-of-the-art (SOTA)
methods is increasing as well, which may hinder the convenient analysis and
comparison of methods. In this paper, we propose a simple baseline that exceeds
the SOTA methods and ... | 2022-04-10T12:48:38Z | Accepted to ECCV 2022; Code:
https://github.com/megvii-research/NAFNet/ | null | null | null | null | null | null | null | null | null |
2,204.04907 | Same Author or Just Same Topic? Towards Content-Independent Style
Representations | ['Anna Wegmann', 'Marijn Schraagen', 'Dong Nguyen'] | ['cs.CL'] | Linguistic style is an integral component of language. Recent advances in the
development of style representations have increasingly used training objectives
from authorship verification (AV): Do two texts have the same author? The
assumption underlying the AV training task (same author approximates same
writing style)... | 2022-04-11T07:15:06Z | accepted to the 7th workshop on RepL4NLP at ACL 2022 | null | null | null | null | null | null | null | null | null |
2,204.04991 | TRUE: Re-evaluating Factual Consistency Evaluation | ['Or Honovich', 'Roee Aharoni', 'Jonathan Herzig', 'Hagai Taitelbaum', 'Doron Kukliansy', 'Vered Cohen', 'Thomas Scialom', 'Idan Szpektor', 'Avinatan Hassidim', 'Yossi Matias'] | ['cs.CL'] | Grounded text generation systems often generate text that contains factual
inconsistencies, hindering their real-world applicability. Automatic factual
consistency evaluation may help alleviate this limitation by accelerating
evaluation cycles, filtering inconsistent outputs and augmenting training data.
While attracti... | 2022-04-11T10:14:35Z | Accepted as a long paper to NAACL 2022 main conference | null | null | TRUE: Re-evaluating Factual Consistency Evaluation | ['Or Honovich', 'Roee Aharoni', 'Jonathan Herzig', 'Hagai Taitelbaum', 'Doron Kukliansy', 'Vered Cohen', 'Thomas Scialom', 'Idan Szpektor', 'A. Hassidim', 'Yossi Matias'] | 2,022 | Workshop on Document-grounded Dialogue and Conversational Question Answering | 4 | 76 | ['Computer Science'] |
2,204.05149 | The Carbon Footprint of Machine Learning Training Will Plateau, Then
Shrink | ['David Patterson', 'Joseph Gonzalez', 'Urs Hölzle', 'Quoc Le', 'Chen Liang', 'Lluis-Miquel Munguia', 'Daniel Rothchild', 'David So', 'Maud Texier', 'Jeff Dean'] | ['cs.LG', 'cs.AI', 'cs.GL'] | Machine Learning (ML) workloads have rapidly grown in importance, but raised
concerns about their carbon footprint. Four best practices can reduce ML
training energy by up to 100x and CO2 emissions up to 1000x. By following best
practices, overall ML energy use (across research, development, and production)
held steady... | 2022-04-11T14:30:27Z | null | null | null | null | null | null | null | null | null | null |
2,204.05235 | Data Splits and Metrics for Method Benchmarking on Surgical Action
Triplet Datasets | ['Chinedu Innocent Nwoye', 'Nicolas Padoy'] | ['cs.CV'] | In addition to generating data and annotations, devising sensible data
splitting strategies and evaluation metrics is essential for the creation of a
benchmark dataset. This practice ensures consensus on the usage of the data,
homogeneous assessment, and uniform comparison of research methods on the
dataset. This study... | 2022-04-11T16:32:25Z | Official splits for the CholecT50 and CholecT45 datasets, 13 pages, 2
figures, 12 tables | null | null | Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets | ['C. Nwoye', 'N. Padoy'] | 2,022 | arXiv.org | 18 | 21 | ['Computer Science'] |
2,204.05862 | Training a Helpful and Harmless Assistant with Reinforcement Learning
from Human Feedback | ['Yuntao Bai', 'Andy Jones', 'Kamal Ndousse', 'Amanda Askell', 'Anna Chen', 'Nova DasSarma', 'Dawn Drain', 'Stanislav Fort', 'Deep Ganguli', 'Tom Henighan', 'Nicholas Joseph', 'Saurav Kadavath', 'Jackson Kernion', 'Tom Conerly', 'Sheer El-Showk', 'Nelson Elhage', 'Zac Hatfield-Dodds', 'Danny Hernandez', 'Tristan Hume',... | ['cs.CL', 'cs.LG'] | We apply preference modeling and reinforcement learning from human feedback
(RLHF) to finetune language models to act as helpful and harmless assistants.
We find this alignment training improves performance on almost all NLP
evaluations, and is fully compatible with training for specialized skills such
as python coding... | 2022-04-12T15:02:38Z | Data available at https://github.com/anthropics/hh-rlhf | null | null | Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback | ['Yuntao Bai', 'Andy Jones', 'Kamal Ndousse', 'Amanda Askell', 'Anna Chen', 'Nova Dassarma', 'Dawn Drain', 'Stanislav Fort', 'Deep Ganguli', 'T. Henighan', 'Nicholas Joseph', 'Saurav Kadavath', 'John Kernion', 'Tom Conerly', 'S. El-Showk', 'Nelson Elhage', 'Zac Hatfield-Dodds', 'Danny Hernandez', 'Tristan Hume', 'Scott... | 2,022 | arXiv.org | 2,632 | 72 | ['Computer Science'] |
2,204.05999 | InCoder: A Generative Model for Code Infilling and Synthesis | ['Daniel Fried', 'Armen Aghajanyan', 'Jessy Lin', 'Sida Wang', 'Eric Wallace', 'Freda Shi', 'Ruiqi Zhong', 'Wen-tau Yih', 'Luke Zettlemoyer', 'Mike Lewis'] | ['cs.SE', 'cs.CL', 'cs.LG'] | Code is seldom written in a single left-to-right pass and is instead
repeatedly edited and refined. We introduce InCoder, a unified generative model
that can perform program synthesis (via left-to-right generation) as well as
editing (via infilling). InCoder is trained to generate code files from a large
corpus of perm... | 2022-04-12T16:25:26Z | ICLR 2023. v3: camera-ready that includes PLBART and OpenAI baselines | null | null | InCoder: A Generative Model for Code Infilling and Synthesis | ['Daniel Fried', 'Armen Aghajanyan', 'Jessy Lin', 'Sida I. Wang', 'Eric Wallace', 'Freda Shi', 'Ruiqi Zhong', 'Wen-tau Yih', 'Luke Zettlemoyer', 'M. Lewis'] | 2,022 | International Conference on Learning Representations | 661 | 81 | ['Computer Science'] |
2,204.06029 | L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT
models | ['Parth Patil', 'Aparna Ranade', 'Maithili Sabane', 'Onkar Litake', 'Raviraj Joshi'] | ['cs.CL', 'cs.LG'] | Named Entity Recognition (NER) is a basic NLP task and finds major
applications in conversational and search systems. It helps us identify key
entities in a sentence used for the downstream application. NER or similar slot
filling systems for popular languages have been heavily used in commercial
applications. In this ... | 2022-04-12T18:32:15Z | null | null | null | L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models | ['Parth Patil', 'Aparna Ranade', 'Maithili Sabane', 'Onkar Litake', 'Raviraj Joshi'] | 2,022 | WILDRE | 20 | 33 | ['Computer Science'] |
2,204.06125 | Hierarchical Text-Conditional Image Generation with CLIP Latents | ['Aditya Ramesh', 'Prafulla Dhariwal', 'Alex Nichol', 'Casey Chu', 'Mark Chen'] | ['cs.CV'] | Contrastive models like CLIP have been shown to learn robust representations
of images that capture both semantics and style. To leverage these
representations for image generation, we propose a two-stage model: a prior
that generates a CLIP image embedding given a text caption, and a decoder that
generates an image co... | 2022-04-13T01:10:33Z | null | null | null | null | null | null | null | null | null | null |
2,204.06228 | Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset
and Multimodal Method for Temporal Forgery Localization | ['Zhixi Cai', 'Kalin Stefanov', 'Abhinav Dhall', 'Munawar Hayat'] | ['cs.CV'] | Due to its high societal impact, deepfake detection is getting active
attention in the computer vision community. Most deepfake detection methods
rely on identity, facial attributes, and adversarial perturbation-based
spatio-temporal modifications at the whole video or random locations while
keeping the meaning of the ... | 2022-04-13T08:02:11Z | DICTA 2022 | null | null | Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization: Anonymous submission Paper ID 73 | ['Zhixi Cai', 'Kalin Stefanov', 'Abhinav Dhall', 'Munawar Hayat'] | 2,022 | International Conference on Digital Image Computing: Techniques and Applications | 3 | 76 | ['Computer Science'] |
2,204.06674 | GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text
Generation | ['Anthony Colas', 'Mehrdad Alvandipour', 'Daisy Zhe Wang'] | ['cs.CL'] | Recent improvements in KG-to-text generation are due to additional auxiliary
pre-training tasks designed to give the fine-tune task a boost in performance.
These tasks require extensive computational resources while only suggesting
marginal improvements. Here, we demonstrate that by fusing graph-aware elements
into exi... | 2022-04-13T23:53:37Z | Accepted as a Main Conference Long paper at COLING 2022 | null | null | null | null | null | null | null | null | null |
2,204.06683 | Revisiting Transformer-based Models for Long Document Classification | ['Xiang Dai', 'Ilias Chalkidis', 'Sune Darkner', 'Desmond Elliott'] | ['cs.CL'] | The recent literature in text classification is biased towards short text
sequences (e.g., sentences or paragraphs). In real-world applications,
multi-page multi-paragraph documents are common and they cannot be efficiently
encoded by vanilla Transformer-based models. We compare different
Transformer-based Long Documen... | 2022-04-14T00:44:36Z | Findings of EMNLP 2022 | null | null | null | null | null | null | null | null | null |
2,204.06745 | GPT-NeoX-20B: An Open-Source Autoregressive Language Model | ['Sid Black', 'Stella Biderman', 'Eric Hallahan', 'Quentin Anthony', 'Leo Gao', 'Laurence Golding', 'Horace He', 'Connor Leahy', 'Kyle McDonell', 'Jason Phang', 'Michael Pieler', 'USVSN Sai Prashanth', 'Shivanshu Purohit', 'Laria Reynolds', 'Jonathan Tow', 'Ben Wang', 'Samuel Weinbach'] | ['cs.CL'] | We introduce GPT-NeoX-20B, a 20 billion parameter autoregressive language
model trained on the Pile, whose weights will be made freely and openly
available to the public through a permissive license. It is, to the best of our
knowledge, the largest dense autoregressive model that has publicly available
weights at the t... | 2022-04-14T04:00:27Z | To appear in the Proceedings of the ACL Workshop on Challenges &
Perspectives in Creating Large Language Models | null | null | GPT-NeoX-20B: An Open-Source Autoregressive Language Model | ['Sid Black', 'Stella Biderman', 'Eric Hallahan', 'Quentin G. Anthony', 'Leo Gao', 'Laurence Golding', 'Horace He', 'Connor Leahy', 'Kyle McDonell', 'Jason Phang', 'M. Pieler', 'USVSN Sai Prashanth', 'Shivanshu Purohit', 'Laria Reynolds', 'J. Tow', 'Benqi Wang', 'Samuel Weinbach'] | 2,022 | BIGSCIENCE | 841 | 142 | ['Computer Science'] |
2,204.07118 | DeiT III: Revenge of the ViT | ['Hugo Touvron', 'Matthieu Cord', 'Hervé Jégou'] | ['cs.CV'] | A Vision Transformer (ViT) is a simple neural architecture amenable to serve
several computer vision tasks. It has limited built-in architectural priors, in
contrast to more recent architectures that incorporate priors either about the
input data or of specific tasks. Recent works show that ViTs benefit from
self-super... | 2022-04-14T17:13:44Z | null | null | null | DeiT III: Revenge of the ViT | ['Hugo Touvron', 'M. Cord', "Herv'e J'egou"] | 2,022 | European Conference on Computer Vision | 418 | 68 | ['Computer Science'] |
2,204.07141 | Masked Siamese Networks for Label-Efficient Learning | ['Mahmoud Assran', 'Mathilde Caron', 'Ishan Misra', 'Piotr Bojanowski', 'Florian Bordes', 'Pascal Vincent', 'Armand Joulin', 'Michael Rabbat', 'Nicolas Ballas'] | ['cs.LG', 'cs.AI', 'cs.CV', 'eess.IV'] | We propose Masked Siamese Networks (MSN), a self-supervised learning
framework for learning image representations. Our approach matches the
representation of an image view containing randomly masked patches to the
representation of the original unmasked image. This self-supervised
pre-training strategy is particularly ... | 2022-04-14T17:54:13Z | null | null | null | null | null | null | null | null | null | null |
2,204.07143 | Neighborhood Attention Transformer | ['Ali Hassani', 'Steven Walton', 'Jiachen Li', 'Shen Li', 'Humphrey Shi'] | ['cs.CV', 'cs.AI', 'cs.LG'] | We present Neighborhood Attention (NA), the first efficient and scalable
sliding-window attention mechanism for vision. NA is a pixel-wise operation,
localizing self attention (SA) to the nearest neighboring pixels, and therefore
enjoys a linear time and space complexity compared to the quadratic complexity
of SA. The ... | 2022-04-14T17:55:15Z | To appear in CVPR 2023. NATTEN is open-sourced at:
https://github.com/SHI-Labs/NATTEN/ | null | null | Neighborhood Attention Transformer | ['Ali Hassani', 'Steven Walton', 'Jiacheng Li', 'Shengjia Li', 'Humphrey Shi'] | 2,022 | Computer Vision and Pattern Recognition | 276 | 52 | ['Computer Science'] |
2,204.07483 | Polling Latent Opinions: A Method for Computational Sociolinguistics
Using Transformer Language Models | ['Philip Feldman', 'Aaron Dant', 'James R. Foulds', 'Shemei Pan'] | ['cs.CL', 'cs.CY', 'K.4.m'] | Text analysis of social media for sentiment, topic analysis, and other
analysis depends initially on the selection of keywords and phrases that will
be used to create the research corpora. However, keywords that researchers
choose may occur infrequently, leading to errors that arise from using small
samples. In this pa... | 2022-04-15T14:33:58Z | 10 pages, 9 figures, 7 tables | null | null | null | null | null | null | null | null | null |
2,204.0758 | mGPT: Few-Shot Learners Go Multilingual | ['Oleh Shliazhko', 'Alena Fenogenova', 'Maria Tikhonova', 'Vladislav Mikhailov', 'Anastasia Kozlova', 'Tatiana Shavrina'] | ['cs.CL', 'cs.AI', '68-06, 68-04, 68T50, 68T01', 'I.2; I.2.7'] | Recent studies report that autoregressive language models can successfully
solve many NLP tasks via zero- and few-shot learning paradigms, which opens up
new possibilities for using the pre-trained language models. This paper
introduces two autoregressive GPT-like models with 1.3 billion and 13 billion
parameters train... | 2022-04-15T13:02:33Z | Accepted for publication at Transactions of the Association for
Computational Linguistics (TACL) To be presented at the Conference on
Empirical Methods in Natural Language Processing (EMNLP 2023) | null | null | null | null | null | null | null | null | null |
2,204.07705 | Super-NaturalInstructions: Generalization via Declarative Instructions
on 1600+ NLP Tasks | ['Yizhong Wang', 'Swaroop Mishra', 'Pegah Alipoormolabashi', 'Yeganeh Kordi', 'Amirreza Mirzaei', 'Anjana Arunkumar', 'Arjun Ashok', 'Arut Selvan Dhanasekaran', 'Atharva Naik', 'David Stap', 'Eshaan Pathak', 'Giannis Karamanolakis', 'Haizhi Gary Lai', 'Ishan Purohit', 'Ishani Mondal', 'Jacob Anderson', 'Kirby Kuznia', ... | ['cs.CL', 'cs.AI'] | How well can NLP models generalize to a variety of unseen tasks when provided
with task instructions? To address this question, we first introduce
Super-NaturalInstructions, a benchmark of 1,616 diverse NLP tasks and their
expert-written instructions. Our collection covers 76 distinct task types,
including but not limi... | 2022-04-16T03:12:30Z | Accepted to EMNLP 2022, 25 pages | null | null | null | null | null | null | null | null | null |
2,204.07962 | An Extendable, Efficient and Effective Transformer-based Object Detector | ['Hwanjun Song', 'Deqing Sun', 'Sanghyuk Chun', 'Varun Jampani', 'Dongyoon Han', 'Byeongho Heo', 'Wonjae Kim', 'Ming-Hsuan Yang'] | ['cs.CV', 'cs.AI', 'cs.LG'] | Transformers have been widely used in numerous vision problems especially for
visual recognition and detection. Detection transformers are the first fully
end-to-end learning systems for object detection, while vision transformers are
the first fully transformer-based architecture for image classification. In
this pape... | 2022-04-17T09:27:45Z | An extension of the ICLR paper, ViDT: An Efficient and Effective
Fully Transformer-based Object Detector. arXiv admin note: substantial text
overlap with arXiv:2110.03921 | null | null | null | null | null | null | null | null | null |
2,204.08083 | AfriWOZ: Corpus for Exploiting Cross-Lingual Transferability for
Generation of Dialogues in Low-Resource, African Languages | ['Tosin Adewumi', 'Mofetoluwa Adeyemi', 'Aremu Anuoluwapo', 'Bukola Peters', 'Happy Buzaaba', 'Oyerinde Samuel', 'Amina Mardiyyah Rufai', 'Benjamin Ajibade', 'Tajudeen Gwadabe', 'Mory Moussou Koulibaly Traore', 'Tunde Ajayi', 'Shamsuddeen Muhammad', 'Ahmed Baruwa', 'Paul Owoicho', 'Tolulope Ogunremi', 'Phylis Ngigi', '... | ['cs.CL'] | Dialogue generation is an important NLP task fraught with many challenges.
The challenges become more daunting for low-resource African languages. To
enable the creation of dialogue agents for African languages, we contribute the
first high-quality dialogue datasets for 6 African languages: Swahili, Wolof,
Hausa, Niger... | 2022-04-17T20:23:04Z | 14 pages, 1 figure, 8 tables | null | null | AfriWOZ: Corpus for Exploiting Cross-Lingual Transferability for Generation of Dialogues in Low-Resource, African Languages | ['Tosin P. Adewumi', 'Mofetoluwa Adeyemi', 'Aremu Anuoluwapo', 'Bukola Peters', 'Happy Buzaaba', 'Oyerinde Samuel', 'Amina Mardiyyah Rufai', 'Benjamin Ayoade Ajibade', 'Tajudeen Gwadabe', 'M. Traore', 'T. Ajayi', 'Shamsuddeen Hassan Muhammad', 'Ahmed Baruwa', 'Paul Owoicho', 'Tolúlopé Ògúnrèmí', 'Phylis Ngigi', 'Orevao... | 2,022 | null | 1 | 60 | ['Computer Science'] |
2,204.08292 | StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in
Texts | ['Zhengxiang Shi', 'Qiang Zhang', 'Aldo Lipani'] | ['cs.CL', 'cs.AI'] | Inferring spatial relations in natural language is a crucial ability an
intelligent system should possess. The bAbI dataset tries to capture tasks
relevant to this domain (task 17 and 19). However, these tasks have several
limitations. Most importantly, they are limited to fixed expressions, they are
limited in the num... | 2022-04-18T12:46:46Z | AAAI 2022 Camera Ready | null | null | StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts | ['Zhengxiang Shi', 'Qiang Zhang', 'Aldo Lipani'] | 2,022 | AAAI Conference on Artificial Intelligence | 75 | 44 | ['Computer Science'] |
2,204.08387 | LayoutLMv3: Pre-training for Document AI with Unified Text and Image
Masking | ['Yupan Huang', 'Tengchao Lv', 'Lei Cui', 'Yutong Lu', 'Furu Wei'] | ['cs.CL', 'cs.CV'] | Self-supervised pre-training techniques have achieved remarkable progress in
Document AI. Most multimodal pre-trained models use a masked language modeling
objective to learn bidirectional representations on the text modality, but they
differ in pre-training objectives for the image modality. This discrepancy adds
diff... | 2022-04-18T16:19:52Z | ACM Multimedia 2022 | null | null | null | null | null | null | null | null | null |
2,204.08398 | L3Cube-HingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and
BERT Language Models | ['Ravindra Nayak', 'Raviraj Joshi'] | ['cs.CL', 'cs.LG'] | Code-switching occurs when more than one language is mixed in a given
sentence or a conversation. This phenomenon is more prominent on social media
platforms and its adoption is increasing over time. Therefore code-mixed NLP
has been extensively studied in the literature. As pre-trained
transformer-based architectures ... | 2022-04-18T16:49:59Z | null | null | null | null | null | null | null | null | null | null |
2,204.08832 | Impact of Tokenization on Language Models: An Analysis for Turkish | ['Cagri Toraman', 'Eyup Halit Yilmaz', 'Furkan Şahinuç', 'Oguzhan Ozcelik'] | ['cs.CL'] | Tokenization is an important text preprocessing step to prepare input tokens
for deep language models. WordPiece and BPE are de facto methods employed by
important models, such as BERT and GPT. However, the impact of tokenization can
be different for morphologically rich languages, such as Turkic languages,
where many ... | 2022-04-19T12:01:46Z | submitted to ACM TALLIP | ACM Transactions on Asian and Low-Resource Language Information
Processing (2023) Volume 22 Issue 4 pp 1-21 | 10.1145/3578707 | null | null | null | null | null | null | null |
2,204.09817 | Making the Most of Text Semantics to Improve Biomedical Vision--Language
Processing | ['Benedikt Boecking', 'Naoto Usuyama', 'Shruthi Bannur', 'Daniel C. Castro', 'Anton Schwaighofer', 'Stephanie Hyland', 'Maria Wetscherek', 'Tristan Naumann', 'Aditya Nori', 'Javier Alvarez-Valle', 'Hoifung Poon', 'Ozan Oktay'] | ['cs.CV', 'cs.CL'] | Multi-modal data abounds in biomedicine, such as radiology images and
reports. Interpreting this data at scale is essential for improving clinical
care and accelerating clinical research. Biomedical text with its complex
semantics poses additional challenges in vision--language modelling compared to
the general domain,... | 2022-04-21T00:04:35Z | To appear in ECCV 2022. Code: https://aka.ms/biovil-code Dataset:
https://aka.ms/ms-cxr Demo Notebook: https://aka.ms/biovil-demo-notebook | Computer Vision - ECCV 2022, LNCS vol 13696, pp 1-21 | 10.1007/978-3-031-20059-5_1 | Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing | ['Benedikt Boecking', 'N. Usuyama', 'Shruthi Bannur', 'Daniel Coelho de Castro', 'A. Schwaighofer', 'Stephanie L. Hyland', 'M. Wetscherek', 'Tristan Naumann', 'A. Nori', 'Javier Alvarez-Valle', 'Hoifung Poon', 'O. Oktay'] | 2,022 | European Conference on Computer Vision | 247 | 91 | ['Computer Science'] |
2,204.09934 | FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech
Synthesis | ['Rongjie Huang', 'Max W. Y. Lam', 'Jun Wang', 'Dan Su', 'Dong Yu', 'Yi Ren', 'Zhou Zhao'] | ['eess.AS', 'cs.LG', 'cs.SD'] | Denoising diffusion probabilistic models (DDPMs) have recently achieved
leading performances in many generative tasks. However, the inherited iterative
sampling process costs hindered their applications to speech synthesis. This
paper proposes FastDiff, a fast conditional diffusion model for high-quality
speech synthes... | 2022-04-21T07:49:09Z | Accepted by IJCAI 2022 | null | null | FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis | ['Rongjie Huang', 'Max W. Y. Lam', 'J. Wang', 'Dan Su', 'Dong Yu', 'Yi Ren', 'Zhou Zhao'] | 2,022 | International Joint Conference on Artificial Intelligence | 172 | 31 | ['Computer Science', 'Engineering'] |
2,204.1029 | Learning to Revise References for Faithful Summarization | ['Griffin Adams', 'Han-Chin Shing', 'Qing Sun', 'Christopher Winestock', 'Kathleen McKeown', 'Noémie Elhadad'] | ['cs.CL'] | In real-world scenarios with naturally occurring datasets, reference
summaries are noisy and may contain information that cannot be inferred from
the source text. On large news corpora, removing low quality samples has been
shown to reduce model hallucinations. Yet, for smaller, and/or noisier corpora,
filtering is det... | 2022-04-13T18:54:19Z | Findings of EMNLP 2022 | null | null | null | null | null | null | null | null | null |
2,204.10298 | DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings | ['Yung-Sung Chuang', 'Rumen Dangovski', 'Hongyin Luo', 'Yang Zhang', 'Shiyu Chang', 'Marin Soljačić', 'Shang-Wen Li', 'Wen-tau Yih', 'Yoon Kim', 'James Glass'] | ['cs.CL'] | We propose DiffCSE, an unsupervised contrastive learning framework for
learning sentence embeddings. DiffCSE learns sentence embeddings that are
sensitive to the difference between the original sentence and an edited
sentence, where the edited sentence is obtained by stochastically masking out
the original sentence and... | 2022-04-21T17:32:01Z | NAACL 2022 main conference (Long paper). Pretrained models and code
are available at https://github.com/voidism/DiffCSE | null | null | null | null | null | null | null | null | null |
2,204.10757 | FaithDial: A Faithful Benchmark for Information-Seeking Dialogue | ['Nouha Dziri', 'Ehsan Kamalloo', 'Sivan Milton', 'Osmar Zaiane', 'Mo Yu', 'Edoardo M. Ponti', 'Siva Reddy'] | ['cs.CL'] | The goal of information-seeking dialogue is to respond to seeker queries with
natural language utterances that are grounded on knowledge sources. However,
dialogue systems often produce unsupported utterances, a phenomenon known as
hallucination. To mitigate this behavior, we adopt a data-centric solution and
create Fa... | 2022-04-22T15:25:12Z | TACL 2022 (20 pages, 3 figures, 10 tables) | null | null | FaithDial: A Faithful Benchmark for Information-Seeking Dialogue | ['Nouha Dziri', 'Ehsan Kamalloo', 'Sivan Milton', 'Osmar R. Zaiane', 'Mo Yu', 'E. Ponti', 'Siva Reddy'] | 2,022 | Transactions of the Association for Computational Linguistics | 91 | 72 | ['Computer Science'] |
2,204.11817 | Translation between Molecules and Natural Language | ['Carl Edwards', 'Tuan Lai', 'Kevin Ros', 'Garrett Honke', 'Kyunghyun Cho', 'Heng Ji'] | ['cs.CL', 'cs.AI'] | We present $\textbf{MolT5}$ $-$ a self-supervised learning framework for
pretraining models on a vast amount of unlabeled natural language text and
molecule strings. $\textbf{MolT5}$ allows for new, useful, and challenging
analogs of traditional vision-language tasks, such as molecule captioning and
text-based de novo ... | 2022-04-25T17:48:09Z | Accepted at EMNLP 2022. Data and code can be found on
[Github](https://github.com/blender-nlp/MolT5) | null | null | Translation between Molecules and Natural Language | ['Carl N. Edwards', 'T. Lai', 'Kevin Ros', 'Garrett Honke', 'Heng Ji'] | 2,022 | Conference on Empirical Methods in Natural Language Processing | 173 | 90 | ['Computer Science'] |
2,204.11823 | StyleGAN-Human: A Data-Centric Odyssey of Human Generation | ['Jianglin Fu', 'Shikai Li', 'Yuming Jiang', 'Kwan-Yee Lin', 'Chen Qian', 'Chen Change Loy', 'Wayne Wu', 'Ziwei Liu'] | ['cs.CV', 'cs.LG'] | Unconditional human image generation is an important task in vision and
graphics, which enables various applications in the creative industry. Existing
studies in this field mainly focus on "network engineering" such as designing
new components and objective functions. This work takes a data-centric
perspective and inv... | 2022-04-25T17:55:08Z | Technical Report. Project page: https://stylegan-human.github.io/
Code and models: https://github.com/stylegan-human/StyleGAN-Human/ | null | null | StyleGAN-Human: A Data-Centric Odyssey of Human Generation | ['Jianglin Fu', 'Shikai Li', 'Yuming Jiang', 'Kwan-Yee Lin', 'Chen Qian', 'Chen Change Loy', 'Wayne Wu', 'Ziwei Liu'] | 2,022 | European Conference on Computer Vision | 151 | 104 | ['Computer Science'] |
2,204.11989 | C3: Continued Pretraining with Contrastive Weak Supervision for Cross
Language Ad-Hoc Retrieval | ['Eugene Yang', 'Suraj Nair', 'Ramraj Chandradevan', 'Rebecca Iglesias-Flores', 'Douglas W. Oard'] | ['cs.IR', 'cs.CL'] | Pretrained language models have improved effectiveness on numerous tasks,
including ad-hoc retrieval. Recent work has shown that continuing to pretrain a
language model with auxiliary objectives before fine-tuning on the retrieval
task can further improve retrieval effectiveness. Unlike monolingual retrieval,
designing... | 2022-04-25T23:12:05Z | 6 pages, 2 figures, accepted as a SIGIR 2022 Short Paper | null | 10.1145/3477495.3531886 | null | null | null | null | null | null | null |
2,204.12463 | Focal Sparse Convolutional Networks for 3D Object Detection | ['Yukang Chen', 'Yanwei Li', 'Xiangyu Zhang', 'Jian Sun', 'Jiaya Jia'] | ['cs.CV', 'cs.LG'] | Non-uniformed 3D sparse data, e.g., point clouds or voxels in different
spatial positions, make contribution to the task of 3D object detection in
different ways. Existing basic components in sparse convolutional networks
(Sparse CNNs) process all sparse data, regardless of regular or submanifold
sparse convolution. In... | 2022-04-26T17:34:10Z | CVPR 2022 Oral. Code is at
http://github.com/dvlab-research/FocalsConv | null | null | null | null | null | null | null | null | null |
2,204.12484 | ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation | ['Yufei Xu', 'Jing Zhang', 'Qiming Zhang', 'Dacheng Tao'] | ['cs.CV'] | Although no specific domain knowledge is considered in the design, plain
vision transformers have shown excellent performance in visual recognition
tasks. However, little effort has been made to reveal the potential of such
simple structures for pose estimation tasks. In this paper, we show the
surprisingly good capabi... | 2022-04-26T17:55:04Z | Neurips 2022. 81.1 mAP on MS COCO Keypoint Detection test-dev set.
V2: Update Multi-task training results: 92.8 AP on OCHuman, 78.3 AP on
CrowdPose, 94.3 PCKh on MPII, and 43.2 AP on AI Challenger | null | null | null | null | null | null | null | null | null |
2,204.12543 | Data Bootstrapping Approaches to Improve Low Resource Abusive Language
Detection for Indic Languages | ['Mithun Das', 'Somnath Banerjee', 'Animesh Mukherjee'] | ['cs.CL', 'cs.LG'] | Abusive language is a growing concern in many social media platforms.
Repeated exposure to abusive speech has created physiological effects on the
target users. Thus, the problem of abusive language should be addressed in all
forms for online peace and safety. While extensive research exists in abusive
speech detection... | 2022-04-26T18:56:01Z | Accepted at HT '22: 33rd ACM Conference on Hypertext and Social Media | null | null | Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages | ['Mithun Das', 'Somnath Banerjee', 'Animesh Mukherjee'] | 2,022 | ACM Conference on Hypertext & Social Media | 45 | 40 | ['Computer Science'] |
2,204.12743 | Self-Supervised Text Erasing with Controllable Image Synthesis | ['Gangwei Jiang', 'Shiyao Wang', 'Tiezheng Ge', 'Yuning Jiang', 'Ying Wei', 'Defu Lian'] | ['cs.CV', 'cs.AI'] | Recent efforts on scene text erasing have shown promising results. However,
existing methods require rich yet costly label annotations to obtain robust
models, which limits the use for practical applications. To this end, we study
an unsupervised scenario by proposing a novel Self-supervised Text Erasing
(STE) framewor... | 2022-04-27T07:21:55Z | 10 pages | null | null | null | null | null | null | null | null | null |
2,204.13902 | Fast Sampling of Diffusion Models with Exponential Integrator | ['Qinsheng Zhang', 'Yongxin Chen'] | ['cs.LG'] | The past few years have witnessed the great success of Diffusion models~(DMs)
in generating high-fidelity samples in generative modeling tasks. A major
limitation of the DM is its notoriously slow sampling procedure which normally
requires hundreds to thousands of time discretization steps of the learned
diffusion proc... | 2022-04-29T06:32:38Z | iclr camera ready,https://github.com/qsh-zh/deis | null | null | null | null | null | null | null | null | null |
2,204.14198 | Flamingo: a Visual Language Model for Few-Shot Learning | ['Jean-Baptiste Alayrac', 'Jeff Donahue', 'Pauline Luc', 'Antoine Miech', 'Iain Barr', 'Yana Hasson', 'Karel Lenc', 'Arthur Mensch', 'Katie Millican', 'Malcolm Reynolds', 'Roman Ring', 'Eliza Rutherford', 'Serkan Cabi', 'Tengda Han', 'Zhitao Gong', 'Sina Samangooei', 'Marianne Monteiro', 'Jacob Menick', 'Sebastian Borg... | ['cs.CV', 'cs.AI', 'cs.LG'] | Building models that can be rapidly adapted to novel tasks using only a
handful of annotated examples is an open challenge for multimodal machine
learning research. We introduce Flamingo, a family of Visual Language Models
(VLM) with this ability. We propose key architectural innovations to: (i)
bridge powerful pretrai... | 2022-04-29T16:29:01Z | 54 pages. In Proceedings of Neural Information Processing Systems
(NeurIPS) 2022 | null | null | Flamingo: a Visual Language Model for Few-Shot Learning | ['Jean-Baptiste Alayrac', 'Jeff Donahue', 'Pauline Luc', 'Antoine Miech', 'Iain Barr', 'Yana Hasson', 'Karel Lenc', 'A. Mensch', 'Katie Millican', 'Malcolm Reynolds', 'Roman Ring', 'Eliza Rutherford', 'Serkan Cabi', 'Tengda Han', 'Zhitao Gong', 'Sina Samangooei', 'Marianne Monteiro', 'Jacob Menick', 'Sebastian Borgeaud... | 2,022 | Neural Information Processing Systems | 3,621 | 182 | ['Computer Science'] |
2,204.14217 | CogView2: Faster and Better Text-to-Image Generation via Hierarchical
Transformers | ['Ming Ding', 'Wendi Zheng', 'Wenyi Hong', 'Jie Tang'] | ['cs.CV', 'cs.LG'] | The development of the transformer-based text-to-image models are impeded by
its slow generation and complexity for high-resolution images. In this work, we
put forward a solution based on hierarchical transformers and local parallel
auto-regressive generation. We pretrain a 6B-parameter transformer with a
simple and f... | 2022-04-28T15:51:11Z | null | null | null | null | null | null | null | null | null | null |
2,205.00258 | EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language
Processing | ['Chengyu Wang', 'Minghui Qiu', 'Chen Shi', 'Taolin Zhang', 'Tingting Liu', 'Lei Li', 'Jianing Wang', 'Ming Wang', 'Jun Huang', 'Wei Lin'] | ['cs.CL'] | The success of Pre-Trained Models (PTMs) has reshaped the development of
Natural Language Processing (NLP). Yet, it is not easy to obtain
high-performing models and deploy them online for industrial practitioners. To
bridge this gap, EasyNLP is designed to make it easy to build NLP applications,
which supports a compre... | 2022-04-30T13:03:53Z | 8 pages | null | null | null | null | null | null | null | null | null |
2,205.00363 | Visual Spatial Reasoning | ['Fangyu Liu', 'Guy Emerson', 'Nigel Collier'] | ['cs.CL', 'cs.AI', 'cs.CV'] | Spatial relations are a basic part of human cognition. However, they are
expressed in natural language in a variety of ways, and previous work has
suggested that current vision-and-language models (VLMs) struggle to capture
relational information. In this paper, we present Visual Spatial Reasoning
(VSR), a dataset cont... | 2022-04-30T23:03:49Z | TACL camera-ready version; code and data available at
https://github.com/cambridgeltl/visual-spatial-reasoning | null | null | null | null | null | null | null | null | null |
2,205.01068 | OPT: Open Pre-trained Transformer Language Models | ['Susan Zhang', 'Stephen Roller', 'Naman Goyal', 'Mikel Artetxe', 'Moya Chen', 'Shuohui Chen', 'Christopher Dewan', 'Mona Diab', 'Xian Li', 'Xi Victoria Lin', 'Todor Mihaylov', 'Myle Ott', 'Sam Shleifer', 'Kurt Shuster', 'Daniel Simig', 'Punit Singh Koura', 'Anjali Sridhar', 'Tianlu Wang', 'Luke Zettlemoyer'] | ['cs.CL', 'cs.LG'] | Large language models, which are often trained for hundreds of thousands of
compute days, have shown remarkable capabilities for zero- and few-shot
learning. Given their computational cost, these models are difficult to
replicate without significant capital. For the few that are available through
APIs, no access is gra... | 2022-05-02T17:49:50Z | null | null | null | null | null | null | null | null | null | null |
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