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2,208.11821 | Refine and Represent: Region-to-Object Representation Learning | ['Akash Gokul', 'Konstantinos Kallidromitis', 'Shufan Li', 'Yusuke Kato', 'Kazuki Kozuka', 'Trevor Darrell', 'Colorado J Reed'] | ['cs.CV'] | Recent works in self-supervised learning have demonstrated strong performance
on scene-level dense prediction tasks by pretraining with object-centric or
region-based correspondence objectives. In this paper, we present
Region-to-Object Representation Learning (R2O) which unifies region-based and
object-centric pretrai... | 2022-08-25T01:44:28Z | null | null | null | null | null | null | null | null | null | null |
2,208.12097 | Training a T5 Using Lab-sized Resources | ['Manuel R. Ciosici', 'Leon Derczynski'] | ['cs.CL'] | Training large neural language models on large datasets is resource- and
time-intensive. These requirements create a barrier to entry, where those with
fewer resources cannot build competitive models. This paper presents various
techniques for making it possible to (a) train a large language model using
resources that ... | 2022-08-25T13:55:16Z | null | null | null | Training a T5 Using Lab-sized Resources | ['Manuel R. Ciosici', 'Leon Derczynski'] | 2,022 | arXiv.org | 8 | 28 | ['Computer Science'] |
2,208.12242 | DreamBooth: Fine Tuning Text-to-Image Diffusion Models for
Subject-Driven Generation | ['Nataniel Ruiz', 'Yuanzhen Li', 'Varun Jampani', 'Yael Pritch', 'Michael Rubinstein', 'Kfir Aberman'] | ['cs.CV', 'cs.GR', 'cs.LG'] | Large text-to-image models achieved a remarkable leap in the evolution of AI,
enabling high-quality and diverse synthesis of images from a given text prompt.
However, these models lack the ability to mimic the appearance of subjects in a
given reference set and synthesize novel renditions of them in different
contexts.... | 2022-08-25T17:45:49Z | Published at CVPR 2023. Project page: https://dreambooth.github.io/ | null | null | DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation | ['Nataniel Ruiz', 'Yuanzhen Li', 'Varun Jampani', 'Y. Pritch', 'Michael Rubinstein', 'Kfir Aberman'] | 2,022 | Computer Vision and Pattern Recognition | 2,911 | 78 | ['Computer Science'] |
2,208.12408 | User-Controllable Latent Transformer for StyleGAN Image Layout Editing | ['Yuki Endo'] | ['cs.CV', 'cs.GR'] | Latent space exploration is a technique that discovers interpretable latent
directions and manipulates latent codes to edit various attributes in images
generated by generative adversarial networks (GANs). However, in previous work,
spatial control is limited to simple transformations (e.g., translation and
rotation), ... | 2022-08-26T02:48:42Z | Accepted to Pacific Graphics 2022, project page:
http://www.cgg.cs.tsukuba.ac.jp/~endo/projects/UserControllableLT | null | null | User‐Controllable Latent Transformer for StyleGAN Image Layout Editing | ['Yuki Endo'] | 2,022 | Computer graphics forum (Print) | 42 | 42 | ['Computer Science'] |
2,208.12415 | MuLan: A Joint Embedding of Music Audio and Natural Language | ['Qingqing Huang', 'Aren Jansen', 'Joonseok Lee', 'Ravi Ganti', 'Judith Yue Li', 'Daniel P. W. Ellis'] | ['eess.AS', 'cs.CL', 'cs.SD', 'stat.ML'] | Music tagging and content-based retrieval systems have traditionally been
constructed using pre-defined ontologies covering a rigid set of music
attributes or text queries. This paper presents MuLan: a first attempt at a new
generation of acoustic models that link music audio directly to unconstrained
natural language ... | 2022-08-26T03:13:21Z | To appear in ISMIR 2022 | null | null | MuLan: A Joint Embedding of Music Audio and Natural Language | ['Qingqing Huang', 'A. Jansen', 'Joonseok Lee', 'R. Ganti', 'Judith Yue Li', 'D. Ellis'] | 2,022 | International Society for Music Information Retrieval Conference | 139 | 48 | ['Computer Science', 'Engineering', 'Mathematics'] |
2,208.12666 | Effectiveness of Mining Audio and Text Pairs from Public Data for
Improving ASR Systems for Low-Resource Languages | ['Kaushal Santosh Bhogale', 'Abhigyan Raman', 'Tahir Javed', 'Sumanth Doddapaneni', 'Anoop Kunchukuttan', 'Pratyush Kumar', 'Mitesh M. Khapra'] | ['cs.CL', 'cs.SD', 'eess.AS'] | End-to-end (E2E) models have become the default choice for state-of-the-art
speech recognition systems. Such models are trained on large amounts of
labelled data, which are often not available for low-resource languages.
Techniques such as self-supervised learning and transfer learning hold promise,
but have not yet be... | 2022-08-26T13:37:45Z | null | null | null | null | null | null | null | null | null | null |
2,208.14493 | Annotated Dataset Creation through General Purpose Language Models for
non-English Medical NLP | ['Johann Frei', 'Frank Kramer'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Obtaining text datasets with semantic annotations is an effortful process,
yet crucial for supervised training in natural language processsing (NLP). In
general, developing and applying new NLP pipelines in domain-specific contexts
for tasks often requires custom designed datasets to address NLP tasks in
supervised mac... | 2022-08-30T18:42:55Z | null | null | null | Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLP | ['Johann Frei', 'F. Kramer'] | 2,022 | arXiv.org | 2 | 47 | ['Computer Science'] |
2,209.0047 | Negation detection in Dutch clinical texts: an evaluation of rule-based
and machine learning methods | ['Bram van Es', 'Leon C. Reteig', 'Sander C. Tan', 'Marijn Schraagen', 'Myrthe M. Hemker', 'Sebastiaan R. S. Arends', 'Miguel A. R. Rios', 'Saskia Haitjema'] | ['cs.CL', 'cs.IR', 'cs.LG', 'stat.ML', '68T50, 68P20', 'I.2.7; J.3; H.3.3'] | As structured data are often insufficient, labels need to be extracted from
free text in electronic health records when developing models for clinical
information retrieval and decision support systems. One of the most important
contextual properties in clinical text is negation, which indicates the absence
of findings... | 2022-09-01T14:00:13Z | 24, 8, journal | null | null | null | null | null | null | null | null | null |
2,209.00507 | Environmental Claim Detection | ['Dominik Stammbach', 'Nicolas Webersinke', 'Julia Anna Bingler', 'Mathias Kraus', 'Markus Leippold'] | ['cs.CL'] | To transition to a green economy, environmental claims made by companies must
be reliable, comparable, and verifiable. To analyze such claims at scale,
automated methods are needed to detect them in the first place. However, there
exist no datasets or models for this. Thus, this paper introduces the task of
environment... | 2022-09-01T14:51:07Z | null | null | null | null | null | null | null | null | null | null |
2,209.0084 | FOLIO: Natural Language Reasoning with First-Order Logic | ['Simeng Han', 'Hailey Schoelkopf', 'Yilun Zhao', 'Zhenting Qi', 'Martin Riddell', 'Wenfei Zhou', 'James Coady', 'David Peng', 'Yujie Qiao', 'Luke Benson', 'Lucy Sun', 'Alex Wardle-Solano', 'Hannah Szabo', 'Ekaterina Zubova', 'Matthew Burtell', 'Jonathan Fan', 'Yixin Liu', 'Brian Wong', 'Malcolm Sailor', 'Ansong Ni', '... | ['cs.CL'] | Large language models (LLMs) have achieved remarkable performance on a
variety of natural language understanding tasks. However, existing benchmarks
are inadequate in measuring the complex logical reasoning capabilities of a
model. We present FOLIO, a human-annotated, logically complex and diverse
dataset for reasoning... | 2022-09-02T06:50:11Z | null | null | null | null | null | null | null | null | null | null |
2,209.01188 | Petals: Collaborative Inference and Fine-tuning of Large Models | ['Alexander Borzunov', 'Dmitry Baranchuk', 'Tim Dettmers', 'Max Ryabinin', 'Younes Belkada', 'Artem Chumachenko', 'Pavel Samygin', 'Colin Raffel'] | ['cs.LG', 'cs.DC'] | Many NLP tasks benefit from using large language models (LLMs) that often
have more than 100 billion parameters. With the release of BLOOM-176B and
OPT-175B, everyone can download pretrained models of this scale. Still, using
these models requires high-end hardware unavailable to many researchers. In
some cases, LLMs c... | 2022-09-02T17:38:03Z | 10 pages, 4 figures. The version 2 updates the benchmarks and the
description of the chat application. Source code and docs: https://petals.ml | null | null | null | null | null | null | null | null | null |
2,209.01335 | Neural Approaches to Multilingual Information Retrieval | ['Dawn Lawrie', 'Eugene Yang', 'Douglas W. Oard', 'James Mayfield'] | ['cs.IR', 'cs.CL'] | Providing access to information across languages has been a goal of
Information Retrieval (IR) for decades. While progress has been made on Cross
Language IR (CLIR) where queries are expressed in one language and documents in
another, the multilingual (MLIR) task to create a single ranked list of
documents across many ... | 2022-09-03T06:02:52Z | 17 pages, 3 figures, accepted at ECIR 2023 | null | null | Neural Approaches to Multilingual Information Retrieval | ['Dawn J Lawrie', 'Eugene Yang', 'Douglas W. Oard', 'J. Mayfield'] | 2,022 | European Conference on Information Retrieval | 23 | 49 | ['Computer Science'] |
2,209.01712 | ChemBERTa-2: Towards Chemical Foundation Models | ['Walid Ahmad', 'Elana Simon', 'Seyone Chithrananda', 'Gabriel Grand', 'Bharath Ramsundar'] | ['cs.LG', 'cs.AI', 'q-bio.BM', 'I.2.7; I.2.1; J.2; J.3'] | Large pretrained models such as GPT-3 have had tremendous impact on modern
natural language processing by leveraging self-supervised learning to learn
salient representations that can be used to readily finetune on a wide variety
of downstream tasks. We investigate the possibility of transferring such
advances to molec... | 2022-09-05T00:31:12Z | ELLIS Machine Learning for Molecule Discovery Workshop | null | null | null | null | null | null | null | null | null |
2,209.01835 | Multi-Figurative Language Generation | ['Huiyuan Lai', 'Malvina Nissim'] | ['cs.CL'] | Figurative language generation is the task of reformulating a given text in
the desired figure of speech while still being faithful to the original
context. We take the first step towards multi-figurative language modelling by
providing a benchmark for the automatic generation of five common figurative
forms in English... | 2022-09-05T08:48:09Z | Accepted to COLING 2022 | null | null | Multi-Figurative Language Generation | ['Huiyuan Lai', 'M. Nissim'] | 2,022 | International Conference on Computational Linguistics | 1 | 46 | ['Computer Science'] |
2,209.02427 | Multi-Modal Experience Inspired AI Creation | ['Qian Cao', 'Xu Chen', 'Ruihua Song', 'Hao Jiang', 'Guang Yang', 'Zhao Cao'] | ['cs.AI'] | AI creation, such as poem or lyrics generation, has attracted increasing
attention from both industry and academic communities, with many promising
models proposed in the past few years. Existing methods usually estimate the
outputs based on single and independent visual or textual information. However,
in reality, hum... | 2022-09-02T11:50:41Z | Accepted by ACM Multimedia 2022 | null | 10.1145/3503161.3548189 | null | null | null | null | null | null | null |
2,209.0297 | Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence | ['Jiaxing Zhang', 'Ruyi Gan', 'Junjie Wang', 'Yuxiang Zhang', 'Lin Zhang', 'Ping Yang', 'Xinyu Gao', 'Ziwei Wu', 'Xiaoqun Dong', 'Junqing He', 'Jianheng Zhuo', 'Qi Yang', 'Yongfeng Huang', 'Xiayu Li', 'Yanghan Wu', 'Junyu Lu', 'Xinyu Zhu', 'Weifeng Chen', 'Ting Han', 'Kunhao Pan', 'Rui Wang', 'Hao Wang', 'Xiaojun Wu', ... | ['cs.CL'] | Nowadays, foundation models become one of fundamental infrastructures in
artificial intelligence, paving ways to the general intelligence. However, the
reality presents two urgent challenges: existing foundation models are
dominated by the English-language community; users are often given limited
resources and thus can... | 2022-09-07T07:32:37Z | Added the Chinese version and is now a bilingual paper | null | null | null | null | null | null | null | null | null |
2,209.02976 | YOLOv6: A Single-Stage Object Detection Framework for Industrial
Applications | ['Chuyi Li', 'Lulu Li', 'Hongliang Jiang', 'Kaiheng Weng', 'Yifei Geng', 'Liang Li', 'Zaidan Ke', 'Qingyuan Li', 'Meng Cheng', 'Weiqiang Nie', 'Yiduo Li', 'Bo Zhang', 'Yufei Liang', 'Linyuan Zhou', 'Xiaoming Xu', 'Xiangxiang Chu', 'Xiaoming Wei', 'Xiaolin Wei'] | ['cs.CV'] | For years, the YOLO series has been the de facto industry-level standard for
efficient object detection. The YOLO community has prospered overwhelmingly to
enrich its use in a multitude of hardware platforms and abundant scenarios. In
this technical report, we strive to push its limits to the next level, stepping
forwa... | 2022-09-07T07:47:58Z | technical report | null | null | null | null | null | null | null | null | null |
2,209.03003 | Flow Straight and Fast: Learning to Generate and Transfer Data with
Rectified Flow | ['Xingchao Liu', 'Chengyue Gong', 'Qiang Liu'] | ['cs.LG'] | We present rectified flow, a surprisingly simple approach to learning
(neural) ordinary differential equation (ODE) models to transport between two
empirically observed distributions \pi_0 and \pi_1, hence providing a unified
solution to generative modeling and domain transfer, among various other tasks
involving distr... | 2022-09-07T08:59:55Z | null | null | null | null | null | null | null | null | null | null |
2,209.03143 | AudioLM: a Language Modeling Approach to Audio Generation | ['Zalán Borsos', 'Raphaël Marinier', 'Damien Vincent', 'Eugene Kharitonov', 'Olivier Pietquin', 'Matt Sharifi', 'Dominik Roblek', 'Olivier Teboul', 'David Grangier', 'Marco Tagliasacchi', 'Neil Zeghidour'] | ['cs.SD', 'cs.LG', 'eess.AS'] | We introduce AudioLM, a framework for high-quality audio generation with
long-term consistency. AudioLM maps the input audio to a sequence of discrete
tokens and casts audio generation as a language modeling task in this
representation space. We show how existing audio tokenizers provide different
trade-offs between re... | 2022-09-07T13:40:08Z | null | null | null | null | null | null | null | null | null | null |
2,209.03592 | Multi-Granularity Prediction for Scene Text Recognition | ['Peng Wang', 'Cheng Da', 'Cong Yao'] | ['cs.CV'] | Scene text recognition (STR) has been an active research topic in computer
vision for years. To tackle this challenging problem, numerous innovative
methods have been successively proposed and incorporating linguistic knowledge
into STR models has recently become a prominent trend. In this work, we first
draw inspirati... | 2022-09-08T06:43:59Z | Accepted by ECCV2022 | null | null | Multi-Granularity Prediction for Scene Text Recognition | ['P. Wang', 'Cheng Da', 'C. Yao'] | 2,022 | European Conference on Computer Vision | 48 | 59 | ['Computer Science'] |
2,209.03855 | SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp
and motion optimization through diffusion | ['Julen Urain', 'Niklas Funk', 'Jan Peters', 'Georgia Chalvatzaki'] | ['cs.RO', 'cs.LG'] | Multi-objective optimization problems are ubiquitous in robotics, e.g., the
optimization of a robot manipulation task requires a joint consideration of
grasp pose configurations, collisions and joint limits. While some demands can
be easily hand-designed, e.g., the smoothness of a trajectory, several
task-specific obje... | 2022-09-08T14:50:23Z | diffusion models, SE(3), grasping, | null | null | null | null | null | null | null | null | null |
2,209.0428 | F-coref: Fast, Accurate and Easy to Use Coreference Resolution | ['Shon Otmazgin', 'Arie Cattan', 'Yoav Goldberg'] | ['cs.CL'] | We introduce fastcoref, a python package for fast, accurate, and easy-to-use
English coreference resolution. The package is pip-installable, and allows two
modes: an accurate mode based on the LingMess architecture, providing
state-of-the-art coreference accuracy, and a substantially faster model,
F-coref, which is the... | 2022-09-09T12:52:28Z | AACL 2022 | null | null | F-coref: Fast, Accurate and Easy to Use Coreference Resolution | ['Shon Otmazgin', 'Arie Cattan', 'Yoav Goldberg'] | 2,022 | AACL | 34 | 38 | ['Computer Science'] |
2,209.04372 | Pre-training image-language transformers for open-vocabulary tasks | ['AJ Piergiovanni', 'Weicheng Kuo', 'Anelia Angelova'] | ['cs.CV'] | We present a pre-training approach for vision and language transformer
models, which is based on a mixture of diverse tasks. We explore both the use
of image-text captioning data in pre-training, which does not need additional
supervision, as well as object-aware strategies to pre-train the model. We
evaluate the metho... | 2022-09-09T16:11:11Z | null | null | null | null | null | null | null | null | null | null |
2,209.04836 | Git Re-Basin: Merging Models modulo Permutation Symmetries | ['Samuel K. Ainsworth', 'Jonathan Hayase', 'Siddhartha Srinivasa'] | ['cs.LG', 'cs.AI'] | The success of deep learning is due in large part to our ability to solve
certain massive non-convex optimization problems with relative ease. Though
non-convex optimization is NP-hard, simple algorithms -- often variants of
stochastic gradient descent -- exhibit surprising effectiveness in fitting
large neural network... | 2022-09-11T10:44:27Z | null | null | null | null | null | null | null | null | null | null |
2,209.06049 | Pre-trained Language Models for the Legal Domain: A Case Study on Indian
Law | ['Shounak Paul', 'Arpan Mandal', 'Pawan Goyal', 'Saptarshi Ghosh'] | ['cs.CL', 'cs.AI', 'cs.LG'] | NLP in the legal domain has seen increasing success with the emergence of
Transformer-based Pre-trained Language Models (PLMs) pre-trained on legal text.
PLMs trained over European and US legal text are available publicly; however,
legal text from other domains (countries), such as India, have a lot of
distinguishing c... | 2022-09-13T15:01:11Z | To be published in the 19th International Conference on Artificial
Intelligence and Law - ICAIL 2023 | null | null | Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law | ['Shounak Paul', 'A. Mandal', 'Pawan Goyal', 'Saptarshi Ghosh'] | 2,022 | International Conference on Artificial Intelligence and Law | 48 | 34 | ['Computer Science'] |
2,209.06293 | Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks
from The New Yorker Caption Contest | ['Jack Hessel', 'Ana Marasović', 'Jena D. Hwang', 'Lillian Lee', 'Jeff Da', 'Rowan Zellers', 'Robert Mankoff', 'Yejin Choi'] | ['cs.CL', 'cs.CV'] | Large neural networks can now generate jokes, but do they really "understand"
humor? We challenge AI models with three tasks derived from the New Yorker
Cartoon Caption Contest: matching a joke to a cartoon, identifying a winning
caption, and explaining why a winning caption is funny. These tasks encapsulate
progressiv... | 2022-09-13T20:54:00Z | null | ACL 2023 | null | null | null | null | null | null | null | null |
2,209.06638 | SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for
Task-Oriented Dialog Understanding | ['Wanwei He', 'Yinpei Dai', 'Binyuan Hui', 'Min Yang', 'Zheng Cao', 'Jianbo Dong', 'Fei Huang', 'Luo Si', 'Yongbin Li'] | ['cs.CL'] | Pre-training methods with contrastive learning objectives have shown
remarkable success in dialog understanding tasks. However, current contrastive
learning solely considers the self-augmented dialog samples as positive samples
and treats all other dialog samples as negative ones, which enforces dissimilar
representati... | 2022-09-14T13:42:50Z | 17 pages, 6 figures. Accepted by COLING 2022 | null | null | null | null | null | null | null | null | null |
2,209.06794 | PaLI: A Jointly-Scaled Multilingual Language-Image Model | ['Xi Chen', 'Xiao Wang', 'Soravit Changpinyo', 'AJ Piergiovanni', 'Piotr Padlewski', 'Daniel Salz', 'Sebastian Goodman', 'Adam Grycner', 'Basil Mustafa', 'Lucas Beyer', 'Alexander Kolesnikov', 'Joan Puigcerver', 'Nan Ding', 'Keran Rong', 'Hassan Akbari', 'Gaurav Mishra', 'Linting Xue', 'Ashish Thapliyal', 'James Bradbu... | ['cs.CV', 'cs.CL'] | Effective scaling and a flexible task interface enable large language models
to excel at many tasks. We present PaLI (Pathways Language and Image model), a
model that extends this approach to the joint modeling of language and vision.
PaLI generates text based on visual and textual inputs, and with this interface
perfo... | 2022-09-14T17:24:07Z | ICLR 2023 (Notable-top-5%) | null | null | null | null | null | null | null | null | null |
2,209.07065 | CommunityLM: Probing Partisan Worldviews from Language Models | ['Hang Jiang', 'Doug Beeferman', 'Brandon Roy', 'Deb Roy'] | ['cs.SI', 'cs.AI', 'cs.CL'] | As political attitudes have diverged ideologically in the United States,
political speech has diverged lingusitically. The ever-widening polarization
between the US political parties is accelerated by an erosion of mutual
understanding between them. We aim to make these communities more
comprehensible to each other wit... | 2022-09-15T05:52:29Z | Paper accepted by COLING 2022 | null | null | CommunityLM: Probing Partisan Worldviews from Language Models | ['Hang Jiang', 'Doug Beeferman', 'Brandon Cain Roy', 'Dwaipayan Roy'] | 2,022 | International Conference on Computational Linguistics | 32 | 31 | ['Computer Science'] |
2,209.07162 | Brain Imaging Generation with Latent Diffusion Models | ['Walter H. L. Pinaya', 'Petru-Daniel Tudosiu', 'Jessica Dafflon', 'Pedro F da Costa', 'Virginia Fernandez', 'Parashkev Nachev', 'Sebastien Ourselin', 'M. Jorge Cardoso'] | ['eess.IV', 'cs.CV', 'q-bio.QM'] | Deep neural networks have brought remarkable breakthroughs in medical image
analysis. However, due to their data-hungry nature, the modest dataset sizes in
medical imaging projects might be hindering their full potential. Generating
synthetic data provides a promising alternative, allowing to complement
training datase... | 2022-09-15T09:16:21Z | 10 pages, 3 figures, Accepted in the Deep Generative Models workshop
@ MICCAI 2022 | null | null | null | null | null | null | null | null | null |
2,209.07562 | TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for
Multilingual Tweet Representations at Twitter | ['Xinyang Zhang', 'Yury Malkov', 'Omar Florez', 'Serim Park', 'Brian McWilliams', 'Jiawei Han', 'Ahmed El-Kishky'] | ['cs.CL'] | Pre-trained language models (PLMs) are fundamental for natural language
processing applications. Most existing PLMs are not tailored to the noisy
user-generated text on social media, and the pre-training does not factor in
the valuable social engagement logs available in a social network. We present
TwHIN-BERT, a multi... | 2022-09-15T19:01:21Z | null | null | null | TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter | ['Xinyang Zhang', 'Yury Malkov', 'Omar U. Florez', 'Serim Park', 'B. McWilliams', 'Jiawei Han', 'Ahmed El-Kishky'] | 2,022 | Knowledge Discovery and Data Mining | 94 | 62 | ['Computer Science'] |
2,209.07634 | Stateful Memory-Augmented Transformers for Efficient Dialogue Modeling | ['Qingyang Wu', 'Zhou Yu'] | ['cs.CL'] | Transformer encoder-decoder models have achieved great performance in
dialogue generation tasks, however, their inability to process long dialogue
history often leads to truncation of the context To address this problem, we
propose a novel memory-augmented transformer that is compatible with existing
pre-trained encode... | 2022-09-15T22:37:22Z | null | null | null | null | null | null | null | null | null | null |
2,209.08212 | Compose & Embellish: Well-Structured Piano Performance Generation via A
Two-Stage Approach | ['Shih-Lun Wu', 'Yi-Hsuan Yang'] | ['cs.SD', 'cs.AI', 'cs.MM', 'eess.AS'] | Even with strong sequence models like Transformers, generating expressive
piano performances with long-range musical structures remains challenging.
Meanwhile, methods to compose well-structured melodies or lead sheets (melody +
chords), i.e., simpler forms of music, gained more success. Observing the
above, we devise ... | 2022-09-17T01:20:59Z | Accepted to International Conference on Acoustics, Speech, and Signal
Processing (ICASSP) 2023 | null | null | null | null | null | null | null | null | null |
2,209.0829 | Changer: Feature Interaction is What You Need for Change Detection | ['Sheng Fang', 'Kaiyu Li', 'Zhe Li'] | ['cs.CV'] | Change detection is an important tool for long-term earth observation
missions. It takes bi-temporal images as input and predicts "where" the change
has occurred. Different from other dense prediction tasks, a meaningful
consideration for change detection is the interaction between bi-temporal
features. With this motiv... | 2022-09-17T09:13:02Z | 11 pages, 5 figures | null | 10.1109/TGRS.2023.3277496 | null | null | null | null | null | null | null |
2,209.09002 | MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation | ['Chuanxia Zheng', 'Long Tung Vuong', 'Jianfei Cai', 'Dinh Phung'] | ['cs.CV'] | Although two-stage Vector Quantized (VQ) generative models allow for
synthesizing high-fidelity and high-resolution images, their quantization
operator encodes similar patches within an image into the same index, resulting
in a repeated artifact for similar adjacent regions using existing decoder
architectures. To addr... | 2022-09-19T13:26:51Z | null | null | null | null | null | null | null | null | null | null |
2,209.09233 | Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in
Dynamic Environments | ['Mingyo Seo', 'Ryan Gupta', 'Yifeng Zhu', 'Alexy Skoutnev', 'Luis Sentis', 'Yuke Zhu'] | ['cs.RO', 'cs.AI'] | We tackle the problem of perceptive locomotion in dynamic environments. In
this problem, a quadrupedal robot must exhibit robust and agile walking
behaviors in response to environmental clutter and moving obstacles. We present
a hierarchical learning framework, named PRELUDE, which decomposes the problem
of perceptive ... | 2022-09-19T17:55:07Z | Accepted to ICRA 2023 | null | null | null | null | null | null | null | null | null |
2,209.09368 | The first neural machine translation system for the Erzya language | ['David Dale'] | ['cs.CL'] | We present the first neural machine translation system for translation
between the endangered Erzya language and Russian and the dataset collected by
us to train and evaluate it. The BLEU scores are 17 and 19 for translation to
Erzya and Russian respectively, and more than half of the translations are
rated as acceptab... | 2022-09-19T22:21:37Z | Accepted to the Field Matters workshop at the COLING 2022 conference | null | null | The first neural machine translation system for the Erzya language | ['David Dale'] | 2,022 | FIELDMATTERS | 7 | 29 | ['Computer Science'] |
2,209.09475 | Revisiting Image Pyramid Structure for High Resolution Salient Object
Detection | ['Taehun Kim', 'Kunhee Kim', 'Joonyeong Lee', 'Dongmin Cha', 'Jiho Lee', 'Daijin Kim'] | ['cs.CV'] | Salient object detection (SOD) has been in the spotlight recently, yet has
been studied less for high-resolution (HR) images. Unfortunately, HR images and
their pixel-level annotations are certainly more labor-intensive and
time-consuming compared to low-resolution (LR) images and annotations.
Therefore, we propose an ... | 2022-09-20T05:20:07Z | 27 pages, 15 figures, 7 tables. To appear in the 16th Asian
Conference on Computer Vision (ACCV2022), December 4-8, 2022, Macau SAR,
China. DOI will be added soon. Results on DIS5K are added in appendices which
will not be in the published version | null | null | Revisiting Image Pyramid Structure for High Resolution Salient Object Detection | ['Taehung Kim', 'Kunhee Kim', 'J. Lee', 'D. Cha', 'Ji-Heon Lee', 'Daijin Kim'] | 2,022 | Asian Conference on Computer Vision | 44 | 54 | ['Computer Science'] |
2,209.09824 | Twitter Topic Classification | ['Dimosthenis Antypas', 'Asahi Ushio', 'Jose Camacho-Collados', 'Leonardo Neves', 'Vítor Silva', 'Francesco Barbieri'] | ['cs.CL'] | Social media platforms host discussions about a wide variety of topics that
arise everyday. Making sense of all the content and organising it into
categories is an arduous task. A common way to deal with this issue is relying
on topic modeling, but topics discovered using this technique are difficult to
interpret and c... | 2022-09-20T16:13:52Z | Accepted at COLING 2022 | null | null | null | null | null | null | null | null | null |
2,209.10655 | Mega: Moving Average Equipped Gated Attention | ['Xuezhe Ma', 'Chunting Zhou', 'Xiang Kong', 'Junxian He', 'Liangke Gui', 'Graham Neubig', 'Jonathan May', 'Luke Zettlemoyer'] | ['cs.LG'] | The design choices in the Transformer attention mechanism, including weak
inductive bias and quadratic computational complexity, have limited its
application for modeling long sequences. In this paper, we introduce Mega, a
simple, theoretically grounded, single-head gated attention mechanism equipped
with (exponential)... | 2022-09-21T20:52:17Z | Accepted by ICLR 2023. Final version (updating MT results). 13 pages,
4 figures and 7 tables | null | null | null | null | null | null | null | null | null |
2,209.10809 | Automated head and neck tumor segmentation from 3D PET/CT | ['Andriy Myronenko', 'Md Mahfuzur Rahman Siddiquee', 'Dong Yang', 'Yufan He', 'Daguang Xu'] | ['eess.IV', 'cs.CV'] | Head and neck tumor segmentation challenge (HECKTOR) 2022 offers a platform
for researchers to compare their solutions to segmentation of tumors and lymph
nodes from 3D CT and PET images. In this work, we describe our solution to
HECKTOR 2022 segmentation task. We re-sample all images to a common resolution,
crop aroun... | 2022-09-22T06:24:09Z | HECKTOR22 segmentation challenge. MICCAI 2022. arXiv admin note: text
overlap with arXiv:2209.09546 | null | null | null | null | null | null | null | null | null |
2,209.11055 | Efficient Few-Shot Learning Without Prompts | ['Lewis Tunstall', 'Nils Reimers', 'Unso Eun Seo Jo', 'Luke Bates', 'Daniel Korat', 'Moshe Wasserblat', 'Oren Pereg'] | ['cs.CL'] | Recent few-shot methods, such as parameter-efficient fine-tuning (PEFT) and
pattern exploiting training (PET), have achieved impressive results in
label-scarce settings. However, they are difficult to employ since they are
subject to high variability from manually crafted prompts, and typically
require billion-paramete... | 2022-09-22T14:48:11Z | null | null | null | null | null | null | null | null | null | null |
2,209.11224 | VToonify: Controllable High-Resolution Portrait Video Style Transfer | ['Shuai Yang', 'Liming Jiang', 'Ziwei Liu', 'Chen Change Loy'] | ['cs.CV', 'cs.GR', 'cs.LG'] | Generating high-quality artistic portrait videos is an important and
desirable task in computer graphics and vision. Although a series of successful
portrait image toonification models built upon the powerful StyleGAN have been
proposed, these image-oriented methods have obvious limitations when applied to
videos, such... | 2022-09-22T17:59:10Z | ACM Transactions on Graphics (SIGGRAPH Asia 2022). Code:
https://github.com/williamyang1991/VToonify Project page:
https://www.mmlab-ntu.com/project/vtoonify/ | null | null | VToonify | ['Shuai Yang', 'Liming Jiang', 'Ziwei Liu', 'Chen Change Loy'] | 2,022 | ACM Transactions on Graphics | 36 | 61 | ['Computer Science'] |
2,209.11345 | Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and
Restoration | ['Marcos V. Conde', 'Ui-Jin Choi', 'Maxime Burchi', 'Radu Timofte'] | ['cs.CV', 'eess.IV'] | Compression plays an important role on the efficient transmission and storage
of images and videos through band-limited systems such as streaming services,
virtual reality or videogames. However, compression unavoidably leads to
artifacts and the loss of the original information, which may severely degrade
the visual q... | 2022-09-22T23:25:08Z | European Conference on Computer Vision (ECCV 2022) Workshops | null | null | null | null | null | null | null | null | null |
2,209.11429 | News Category Dataset | ['Rishabh Misra'] | ['cs.CL'] | People rely on news to know what is happening around the world and inform
their daily lives. In today's world, when the proliferation of fake news is
rampant, having a large-scale and high-quality source of authentic news
articles with the published category information is valuable to learning
authentic news' Natural L... | 2022-09-23T06:13:16Z | correction of a missing citation | null | null | null | null | null | null | null | null | null |
2,209.11755 | Promptagator: Few-shot Dense Retrieval From 8 Examples | ['Zhuyun Dai', 'Vincent Y. Zhao', 'Ji Ma', 'Yi Luan', 'Jianmo Ni', 'Jing Lu', 'Anton Bakalov', 'Kelvin Guu', 'Keith B. Hall', 'Ming-Wei Chang'] | ['cs.CL', 'cs.IR'] | Much recent research on information retrieval has focused on how to transfer
from one task (typically with abundant supervised data) to various other tasks
where supervision is limited, with the implicit assumption that it is possible
to generalize from one task to all the rest. However, this overlooks the fact
that th... | 2022-09-23T17:59:06Z | null | null | null | null | null | null | null | null | null | null |
2,209.11799 | Augmenting Interpretable Models with LLMs during Training | ['Chandan Singh', 'Armin Askari', 'Rich Caruana', 'Jianfeng Gao'] | ['cs.AI', 'cs.CL', 'cs.LG', 'stat.ME'] | Recent large language models (LLMs) have demonstrated remarkable prediction
performance for a growing array of tasks. However, their proliferation into
high-stakes domains (e.g. medicine) and compute-limited settings has created a
burgeoning need for interpretability and efficiency. We address this need by
proposing Au... | 2022-09-23T18:36:01Z | null | Nature Communications, 2023 | 10.1038/s41467-023-43713-1 | null | null | null | null | null | null | null |
2,209.12172 | Optimal Transport-based Identity Matching for Identity-invariant Facial
Expression Recognition | ['Daeha Kim', 'Byung Cheol Song'] | ['cs.CV'] | Identity-invariant facial expression recognition (FER) has been one of the
challenging computer vision tasks. Since conventional FER schemes do not
explicitly address the inter-identity variation of facial expressions, their
neural network models still operate depending on facial identity. This paper
proposes to quanti... | 2022-09-25T07:30:44Z | Accepted by NeurIPS 2022 | null | null | null | null | null | null | null | null | null |
2,209.12177 | Application of Deep Learning in Generating Structured Radiology Reports:
A Transformer-Based Technique | ['Seyed Ali Reza Moezzi', 'Abdolrahman Ghaedi', 'Mojdeh Rahmanian', 'Seyedeh Zahra Mousavi', 'Ashkan Sami'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Since radiology reports needed for clinical practice and research are written
and stored in free-text narrations, extraction of relative information for
further analysis is difficult. In these circumstances, natural language
processing (NLP) techniques can facilitate automatic information extraction and
transformation ... | 2022-09-25T08:03:15Z | null | Journal of Digital Imaging (2022) 1--11 Springer | 10.1007/s10278-022-00692-x | Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique | ['Seyed Ali Reza Moezzi', 'Abdolrahman Ghaedi', 'M. Rahmanian', 'Seyedeh Zahra Mousavi', 'A. Sami'] | 2,022 | Journal of digital imaging | 9 | 53 | ['Computer Science', 'Medicine'] |
2,209.12616 | T-NER: An All-Round Python Library for Transformer-based Named Entity
Recognition | ['Asahi Ushio', 'Jose Camacho-Collados'] | ['cs.CL', 'cs.LG'] | Language model (LM) pretraining has led to consistent improvements in many
NLP downstream tasks, including named entity recognition (NER). In this paper,
we present T-NER (Transformer-based Named Entity Recognition), a Python library
for NER LM finetuning. In addition to its practical utility, T-NER facilitates
the stu... | 2022-09-09T15:00:38Z | Proceedings of the 16th Conference of the European Chapter of the
Association for Computational Linguistics (EACL 2021): System Demonstrations | null | 10.18653/v1/2021.eacl-demos.7 | null | null | null | null | null | null | null |
2,209.12778 | Developing A Visual-Interactive Interface for Electronic Health Record
Labeling: An Explainable Machine Learning Approach | ['Donlapark Ponnoprat', 'Parichart Pattarapanitchai', 'Phimphaka Taninpong', 'Suthep Suantai', 'Natthanaphop Isaradech', 'Thiraphat Tanphiriyakun'] | ['cs.LG', 'cs.HC', 'stat.AP', 'stat.ML'] | Labeling a large number of electronic health records is expensive and time
consuming, and having a labeling assistant tool can significantly reduce
medical experts' workload. Nevertheless, to gain the experts' trust, the tool
must be able to explain the reasons behind its outputs. Motivated by this, we
introduce Explai... | 2022-09-26T15:40:13Z | The detailed code, documentation and installation instructions of
XLabel have been made available at https://github.com/donlapark/XLabel | null | null | Developing A Visual-Interactive Interface for Electronic Health Record Labeling: An Explainable Machine Learning Approach | ['Donlapark Ponnoprat', 'Parichart Pattarapanitchai', 'Phimphaka Taninpong', 'S. Suantai', 'N. Isaradech', 'Thiraphat Tanphiriyakun'] | 2,022 | null | 0 | 33 | ['Computer Science', 'Mathematics'] |
2,209.14008 | Keyword Extraction from Short Texts with a Text-To-Text Transfer
Transformer | ['Piotr Pęzik', 'Agnieszka Mikołajczyk-Bareła', 'Adam Wawrzyński', 'Bartłomiej Nitoń', 'Maciej Ogrodniczuk'] | ['cs.CL'] | The paper explores the relevance of the Text-To-Text Transfer Transformer
language model (T5) for Polish (plT5) to the task of intrinsic and extrinsic
keyword extraction from short text passages. The evaluation is carried out on
the new Polish Open Science Metadata Corpus (POSMAC), which is released with
this paper: a ... | 2022-09-28T11:31:43Z | Accepted to ACIIDS 2022. The proceedings of ACIIDS 2022 will be
published by Springer in series Lecture Notes in Artificial Intelligence
(LNAI) and Communications in Computer and Information Science (CCIS) | null | null | null | null | null | null | null | null | null |
2,209.14156 | TVLT: Textless Vision-Language Transformer | ['Zineng Tang', 'Jaemin Cho', 'Yixin Nie', 'Mohit Bansal'] | ['cs.CV', 'cs.AI', 'cs.CL'] | In this work, we present the Textless Vision-Language Transformer (TVLT),
where homogeneous transformer blocks take raw visual and audio inputs for
vision-and-language representation learning with minimal modality-specific
design, and do not use text-specific modules such as tokenization or automatic
speech recognition... | 2022-09-28T15:08:03Z | NeurIPS 2022 Oral (21 pages; the first three authors contributed
equally) | null | null | null | null | null | null | null | null | null |
2,209.14577 | Rectified Flow: A Marginal Preserving Approach to Optimal Transport | ['Qiang Liu'] | ['stat.ML', 'cs.LG'] | We present a flow-based approach to the optimal transport (OT) problem
between two continuous distributions $\pi_0,\pi_1$ on $\mathbb{R}^d$, of
minimizing a transport cost $\mathbb{E}[c(X_1-X_0)]$ in the set of couplings
$(X_0,X_1)$ whose marginal distributions on $X_0,X_1$ equals $\pi_0,\pi_1$,
respectively, where $c$... | 2022-09-29T06:37:26Z | null | null | null | null | null | null | null | null | null | null |
2,209.14792 | Make-A-Video: Text-to-Video Generation without Text-Video Data | ['Uriel Singer', 'Adam Polyak', 'Thomas Hayes', 'Xi Yin', 'Jie An', 'Songyang Zhang', 'Qiyuan Hu', 'Harry Yang', 'Oron Ashual', 'Oran Gafni', 'Devi Parikh', 'Sonal Gupta', 'Yaniv Taigman'] | ['cs.CV', 'cs.AI', 'cs.LG'] | We propose Make-A-Video -- an approach for directly translating the
tremendous recent progress in Text-to-Image (T2I) generation to Text-to-Video
(T2V). Our intuition is simple: learn what the world looks like and how it is
described from paired text-image data, and learn how the world moves from
unsupervised video foo... | 2022-09-29T13:59:46Z | null | null | null | null | null | null | null | null | null | null |
2,209.15001 | Dilated Neighborhood Attention Transformer | ['Ali Hassani', 'Humphrey Shi'] | ['cs.CV', 'cs.AI', 'cs.LG'] | Transformers are quickly becoming one of the most heavily applied deep
learning architectures across modalities, domains, and tasks. In vision, on top
of ongoing efforts into plain transformers, hierarchical transformers have also
gained significant attention, thanks to their performance and easy integration
into exist... | 2022-09-29T17:57:08Z | Large results were updated according to the new checkpoint. We
open-source our project at
https://github.com/SHI-Labs/Neighborhood-Attention-Transformer | null | null | Dilated Neighborhood Attention Transformer | ['Ali Hassani', 'Humphrey Shi'] | 2,022 | arXiv.org | 73 | 57 | ['Computer Science'] |
2,209.15352 | AudioGen: Textually Guided Audio Generation | ['Felix Kreuk', 'Gabriel Synnaeve', 'Adam Polyak', 'Uriel Singer', 'Alexandre Défossez', 'Jade Copet', 'Devi Parikh', 'Yaniv Taigman', 'Yossi Adi'] | ['cs.SD', 'cs.CL', 'cs.LG', 'eess.AS'] | We tackle the problem of generating audio samples conditioned on descriptive
text captions. In this work, we propose AaudioGen, an auto-regressive
generative model that generates audio samples conditioned on text inputs.
AudioGen operates on a learnt discrete audio representation. The task of
text-to-audio generation p... | 2022-09-30T10:17:05Z | Accepted to ICLR 2023 | null | null | null | null | null | null | null | null | null |
2,210.00077 | E-Branchformer: Branchformer with Enhanced merging for speech
recognition | ['Kwangyoun Kim', 'Felix Wu', 'Yifan Peng', 'Jing Pan', 'Prashant Sridhar', 'Kyu J. Han', 'Shinji Watanabe'] | ['eess.AS', 'cs.LG'] | Conformer, combining convolution and self-attention sequentially to capture
both local and global information, has shown remarkable performance and is
currently regarded as the state-of-the-art for automatic speech recognition
(ASR). Several other studies have explored integrating convolution and
self-attention but the... | 2022-09-30T20:22:15Z | Accepted to SLT 2022 | null | null | null | null | null | null | null | null | null |
2,210.00131 | Underspecification in Language Modeling Tasks: A Causality-Informed
Study of Gendered Pronoun Resolution | ['Emily McMilin'] | ['cs.CL', 'cs.AI'] | Modern language modeling tasks are often underspecified: for a given token
prediction, many words may satisfy the user's intent of producing natural
language at inference time, however only one word will minimize the task's loss
function at training time. We introduce a simple causal mechanism to describe
the role unde... | 2022-09-30T23:10:11Z | 24 pages, 41 figures | null | null | null | null | null | null | null | null | null |
2,210.00312 | Multimodal Analogical Reasoning over Knowledge Graphs | ['Ningyu Zhang', 'Lei Li', 'Xiang Chen', 'Xiaozhuan Liang', 'Shumin Deng', 'Huajun Chen'] | ['cs.CL', 'cs.AI', 'cs.CV', 'cs.LG', 'cs.MM'] | Analogical reasoning is fundamental to human cognition and holds an important
place in various fields. However, previous studies mainly focus on single-modal
analogical reasoning and ignore taking advantage of structure knowledge.
Notably, the research in cognitive psychology has demonstrated that information
from mult... | 2022-10-01T16:24:15Z | Accepted by ICLR 2023. The project website is
https://zjunlp.github.io/project/MKG_Analogy/introduction.html | null | null | null | null | null | null | null | null | null |
2,210.00434 | Music-to-Text Synaesthesia: Generating Descriptive Text from Music
Recordings | ['Zhihuan Kuang', 'Shi Zong', 'Jianbing Zhang', 'Jiajun Chen', 'Hongfu Liu'] | ['eess.AS', 'cs.AI', 'cs.CL', 'cs.MM', 'cs.SD'] | In this paper, we consider a novel research problem: music-to-text
synaesthesia. Different from the classical music tagging problem that
classifies a music recording into pre-defined categories, music-to-text
synaesthesia aims to generate descriptive texts from music recordings with the
same sentiment for further under... | 2022-10-02T06:06:55Z | null | null | null | null | null | null | null | null | null | null |
2,210.00939 | Improving Sample Quality of Diffusion Models Using Self-Attention
Guidance | ['Susung Hong', 'Gyuseong Lee', 'Wooseok Jang', 'Seungryong Kim'] | ['cs.CV', 'cs.AI', 'cs.LG'] | Denoising diffusion models (DDMs) have attracted attention for their
exceptional generation quality and diversity. This success is largely
attributed to the use of class- or text-conditional diffusion guidance methods,
such as classifier and classifier-free guidance. In this paper, we present a
more comprehensive persp... | 2022-10-03T13:50:58Z | Accepted to ICCV 2023. Project Page:
https://ku-cvlab.github.io/Self-Attention-Guidance | null | null | null | null | null | null | null | null | null |
2,210.0182 | MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision
Models | ['Chenglin Yang', 'Siyuan Qiao', 'Qihang Yu', 'Xiaoding Yuan', 'Yukun Zhu', 'Alan Yuille', 'Hartwig Adam', 'Liang-Chieh Chen'] | ['cs.CV'] | This paper presents MOAT, a family of neural networks that build on top of
MObile convolution (i.e., inverted residual blocks) and ATtention. Unlike the
current works that stack separate mobile convolution and transformer blocks, we
effectively merge them into a MOAT block. Starting with a standard Transformer
block, w... | 2022-10-04T18:00:06Z | ICLR 2023. arXiv v2: add ImageNet-1K-V2, tiny-MOAT on COCO detection
and ADE20K segmentation | null | null | null | null | null | null | null | null | null |
2,210.02365 | SoccerNet 2022 Challenges Results | ['Silvio Giancola', 'Anthony Cioppa', 'Adrien Deliège', 'Floriane Magera', 'Vladimir Somers', 'Le Kang', 'Xin Zhou', 'Olivier Barnich', 'Christophe De Vleeschouwer', 'Alexandre Alahi', 'Bernard Ghanem', 'Marc Van Droogenbroeck', 'Abdulrahman Darwish', 'Adrien Maglo', 'Albert Clapés', 'Andreas Luyts', 'Andrei Boiarov', ... | ['cs.CV'] | The SoccerNet 2022 challenges were the second annual video understanding
challenges organized by the SoccerNet team. In 2022, the challenges were
composed of 6 vision-based tasks: (1) action spotting, focusing on retrieving
action timestamps in long untrimmed videos, (2) replay grounding, focusing on
retrieving the liv... | 2022-10-05T16:12:50Z | Accepted at ACM MMSports 2022 | null | 10.1145/3552437.3558545 | null | null | null | null | null | null | null |
2,210.02396 | Temporally Consistent Transformers for Video Generation | ['Wilson Yan', 'Danijar Hafner', 'Stephen James', 'Pieter Abbeel'] | ['cs.CV', 'cs.AI', 'cs.LG'] | To generate accurate videos, algorithms have to understand the spatial and
temporal dependencies in the world. Current algorithms enable accurate
predictions over short horizons but tend to suffer from temporal
inconsistencies. When generated content goes out of view and is later
revisited, the model invents different ... | 2022-10-05T17:15:10Z | Project website: https://wilson1yan.github.io/teco | null | null | Temporally Consistent Transformers for Video Generation | ['Wilson Yan', 'Danijar Hafner', 'Stephen James', 'P. Abbeel'] | 2,022 | International Conference on Machine Learning | 31 | 67 | ['Computer Science'] |
2,210.02399 | Phenaki: Variable Length Video Generation From Open Domain Textual
Description | ['Ruben Villegas', 'Mohammad Babaeizadeh', 'Pieter-Jan Kindermans', 'Hernan Moraldo', 'Han Zhang', 'Mohammad Taghi Saffar', 'Santiago Castro', 'Julius Kunze', 'Dumitru Erhan'] | ['cs.CV', 'cs.AI'] | We present Phenaki, a model capable of realistic video synthesis, given a
sequence of textual prompts. Generating videos from text is particularly
challenging due to the computational cost, limited quantities of high quality
text-video data and variable length of videos. To address these issues, we
introduce a new mode... | 2022-10-05T17:18:28Z | null | null | null | null | null | null | null | null | null | null |
2,210.02414 | GLM-130B: An Open Bilingual Pre-trained Model | ['Aohan Zeng', 'Xiao Liu', 'Zhengxiao Du', 'Zihan Wang', 'Hanyu Lai', 'Ming Ding', 'Zhuoyi Yang', 'Yifan Xu', 'Wendi Zheng', 'Xiao Xia', 'Weng Lam Tam', 'Zixuan Ma', 'Yufei Xue', 'Jidong Zhai', 'Wenguang Chen', 'Peng Zhang', 'Yuxiao Dong', 'Jie Tang'] | ['cs.CL', 'cs.AI', 'cs.LG'] | We introduce GLM-130B, a bilingual (English and Chinese) pre-trained language
model with 130 billion parameters. It is an attempt to open-source a 100B-scale
model at least as good as GPT-3 (davinci) and unveil how models of such a scale
can be successfully pre-trained. Over the course of this effort, we face
numerous ... | 2022-10-05T17:34:44Z | Accepted to ICLR 2023 | null | null | null | null | null | null | null | null | null |
2,210.02592 | CCC-wav2vec 2.0: Clustering aided Cross Contrastive Self-supervised
learning of speech representations | ['Vasista Sai Lodagala', 'Sreyan Ghosh', 'S. Umesh'] | ['cs.CL'] | While Self-Supervised Learning has helped reap the benefit of the scale from
the available unlabeled data, the learning paradigms are continuously being
bettered. We present a new pre-training strategy named ccc-wav2vec 2.0, which
uses clustering and an augmentation-based cross-contrastive loss as its
self-supervised o... | 2022-10-05T22:44:35Z | Accepted to IEEE SLT 2022 | null | null | CCC-WAV2VEC 2.0: Clustering AIDED Cross Contrastive Self-Supervised Learning of Speech Representations | ['Vasista Sai Lodagala', 'Sreyan Ghosh', 'S. Umesh'] | 2,022 | Spoken Language Technology Workshop | 18 | 40 | ['Computer Science'] |
2,210.02747 | Flow Matching for Generative Modeling | ['Yaron Lipman', 'Ricky T. Q. Chen', 'Heli Ben-Hamu', 'Maximilian Nickel', 'Matt Le'] | ['cs.LG', 'cs.AI', 'stat.ML'] | We introduce a new paradigm for generative modeling built on Continuous
Normalizing Flows (CNFs), allowing us to train CNFs at unprecedented scale.
Specifically, we present the notion of Flow Matching (FM), a simulation-free
approach for training CNFs based on regressing vector fields of fixed
conditional probability p... | 2022-10-06T08:32:20Z | null | null | null | null | null | null | null | null | null | null |
2,210.02849 | XDoc: Unified Pre-training for Cross-Format Document Understanding | ['Jingye Chen', 'Tengchao Lv', 'Lei Cui', 'Cha Zhang', 'Furu Wei'] | ['cs.CL'] | The surge of pre-training has witnessed the rapid development of document
understanding recently. Pre-training and fine-tuning framework has been
effectively used to tackle texts in various formats, including plain texts,
document texts, and web texts. Despite achieving promising performance,
existing pre-trained model... | 2022-10-06T12:07:18Z | EMNLP 2022 | null | null | null | null | null | null | null | null | null |
2,210.0289 | Multiview Contextual Commonsense Inference: A New Dataset and Task | ['Siqi Shen', 'Deepanway Ghosal', 'Navonil Majumder', 'Henry Lim', 'Rada Mihalcea', 'Soujanya Poria'] | ['cs.CL'] | Contextual commonsense inference is the task of generating various types of
explanations around the events in a dyadic dialogue, including cause,
motivation, emotional reaction, and others. Producing a coherent and
non-trivial explanation requires awareness of the dialogue's structure and of
how an event is grounded in... | 2022-10-06T13:08:41Z | null | null | null | null | null | null | null | null | null | null |
2,210.02969 | Guess the Instruction! Flipped Learning Makes Language Models Stronger
Zero-Shot Learners | ['Seonghyeon Ye', 'Doyoung Kim', 'Joel Jang', 'Joongbo Shin', 'Minjoon Seo'] | ['cs.CL'] | Meta-training, which fine-tunes the language model (LM) on various downstream
tasks by maximizing the likelihood of the target label given the task
instruction and input instance, has improved the zero-shot task generalization
performance. However, meta-trained LMs still struggle to generalize to
challenging tasks cont... | 2022-10-06T15:00:47Z | ICLR 2023 | null | null | null | null | null | null | null | null | null |
2,210.03057 | Language Models are Multilingual Chain-of-Thought Reasoners | ['Freda Shi', 'Mirac Suzgun', 'Markus Freitag', 'Xuezhi Wang', 'Suraj Srivats', 'Soroush Vosoughi', 'Hyung Won Chung', 'Yi Tay', 'Sebastian Ruder', 'Denny Zhou', 'Dipanjan Das', 'Jason Wei'] | ['cs.CL', 'cs.AI', 'cs.LG'] | We evaluate the reasoning abilities of large language models in multilingual
settings. We introduce the Multilingual Grade School Math (MGSM) benchmark, by
manually translating 250 grade-school math problems from the GSM8K dataset
(Cobbe et al., 2021) into ten typologically diverse languages. We find that the
ability t... | 2022-10-06T17:03:34Z | null | null | null | null | null | null | null | null | null | null |
2,210.03078 | Rainier: Reinforced Knowledge Introspector for Commonsense Question
Answering | ['Jiacheng Liu', 'Skyler Hallinan', 'Ximing Lu', 'Pengfei He', 'Sean Welleck', 'Hannaneh Hajishirzi', 'Yejin Choi'] | ['cs.CL', 'cs.AI'] | Knowledge underpins reasoning. Recent research demonstrates that when
relevant knowledge is provided as additional context to commonsense question
answering (QA), it can substantially enhance the performance even on top of
state-of-the-art. The fundamental challenge is where and how to find such
knowledge that is high ... | 2022-10-06T17:34:06Z | EMNLP 2022 main conference | null | null | null | null | null | null | null | null | null |
2,210.03094 | VIMA: General Robot Manipulation with Multimodal Prompts | ['Yunfan Jiang', 'Agrim Gupta', 'Zichen Zhang', 'Guanzhi Wang', 'Yongqiang Dou', 'Yanjun Chen', 'Li Fei-Fei', 'Anima Anandkumar', 'Yuke Zhu', 'Linxi Fan'] | ['cs.RO', 'cs.AI', 'cs.LG'] | Prompt-based learning has emerged as a successful paradigm in natural
language processing, where a single general-purpose language model can be
instructed to perform any task specified by input prompts. Yet task
specification in robotics comes in various forms, such as imitating one-shot
demonstrations, following langu... | 2022-10-06T17:50:11Z | ICML 2023 Camera-ready version. Project website:
https://vimalabs.github.io/ | null | null | null | null | null | null | null | null | null |
2,210.03117 | MaPLe: Multi-modal Prompt Learning | ['Muhammad Uzair Khattak', 'Hanoona Rasheed', 'Muhammad Maaz', 'Salman Khan', 'Fahad Shahbaz Khan'] | ['cs.CV'] | Pre-trained vision-language (V-L) models such as CLIP have shown excellent
generalization ability to downstream tasks. However, they are sensitive to the
choice of input text prompts and require careful selection of prompt templates
to perform well. Inspired by the Natural Language Processing (NLP) literature,
recent C... | 2022-10-06T17:59:56Z | Accepted at CVPR2023 | null | null | MaPLe: Multi-modal Prompt Learning | ['Muhammad Uzair Khattak', 'H. Rasheed', 'Muhammad Maaz', 'Salman H. Khan', 'F. Khan'] | 2,022 | Computer Vision and Pattern Recognition | 574 | 53 | ['Computer Science'] |
2,210.03142 | On Distillation of Guided Diffusion Models | ['Chenlin Meng', 'Robin Rombach', 'Ruiqi Gao', 'Diederik P. Kingma', 'Stefano Ermon', 'Jonathan Ho', 'Tim Salimans'] | ['cs.CV', 'cs.AI', 'cs.LG'] | Classifier-free guided diffusion models have recently been shown to be highly
effective at high-resolution image generation, and they have been widely used
in large-scale diffusion frameworks including DALLE-2, Stable Diffusion and
Imagen. However, a downside of classifier-free guided diffusion models is that
they are ... | 2022-10-06T18:03:56Z | CVPR 2023, Award candidate | null | null | null | null | null | null | null | null | null |
2,210.03304 | Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD
Coding | ['Zhichao Yang', 'Shufan Wang', 'Bhanu Pratap Singh Rawat', 'Avijit Mitra', 'Hong Yu'] | ['cs.CL'] | Automatic International Classification of Diseases (ICD) coding aims to
assign multiple ICD codes to a medical note with average length of 3,000+
tokens. This task is challenging due to a high-dimensional space of multi-label
assignment (tens of thousands of ICD codes) and the long-tail challenge: only a
few codes (com... | 2022-10-07T03:25:58Z | Accepted by Findings of EMNLP 2022, code is available at
https://github.com/whaleloops/KEPT | null | null | Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding | ['Zhichao Yang', 'Shufan Wang', 'Bhanu Pratap Singh Rawat', 'Avijit Mitra', 'Hong Yu'] | 2,022 | Conference on Empirical Methods in Natural Language Processing | 55 | 74 | ['Computer Science', 'Medicine'] |
2,210.03347 | Pix2Struct: Screenshot Parsing as Pretraining for Visual Language
Understanding | ['Kenton Lee', 'Mandar Joshi', 'Iulia Turc', 'Hexiang Hu', 'Fangyu Liu', 'Julian Eisenschlos', 'Urvashi Khandelwal', 'Peter Shaw', 'Ming-Wei Chang', 'Kristina Toutanova'] | ['cs.CL', 'cs.CV'] | Visually-situated language is ubiquitous -- sources range from textbooks with
diagrams to web pages with images and tables, to mobile apps with buttons and
forms. Perhaps due to this diversity, previous work has typically relied on
domain-specific recipes with limited sharing of the underlying data, model
architectures... | 2022-10-07T06:42:06Z | Accepted at ICML | null | null | null | null | null | null | null | null | null |
2,210.03629 | ReAct: Synergizing Reasoning and Acting in Language Models | ['Shunyu Yao', 'Jeffrey Zhao', 'Dian Yu', 'Nan Du', 'Izhak Shafran', 'Karthik Narasimhan', 'Yuan Cao'] | ['cs.CL', 'cs.AI', 'cs.LG'] | While large language models (LLMs) have demonstrated impressive capabilities
across tasks in language understanding and interactive decision making, their
abilities for reasoning (e.g. chain-of-thought prompting) and acting (e.g.
action plan generation) have primarily been studied as separate topics. In this
paper, we ... | 2022-10-06T01:00:32Z | v3 is the ICLR camera ready version with some typos fixed. Project
site with code: https://react-lm.github.io | null | null | ReAct: Synergizing Reasoning and Acting in Language Models | ['Shunyu Yao', 'Jeffrey Zhao', 'Dian Yu', 'Nan Du', 'Izhak Shafran', 'Karthik Narasimhan', 'Yuan Cao'] | 2,022 | International Conference on Learning Representations | 3,007 | 65 | ['Computer Science'] |
2,210.03953 | Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine
Translation | ['Chenze Shao', 'Yang Feng'] | ['cs.CL'] | Non-autoregressive translation (NAT) models are typically trained with the
cross-entropy loss, which forces the model outputs to be aligned verbatim with
the target sentence and will highly penalize small shifts in word positions.
Latent alignment models relax the explicit alignment by marginalizing out all
monotonic l... | 2022-10-08T07:44:28Z | NeurIPS 2022 | null | null | null | null | null | null | null | null | null |
2,210.03992 | Generative Language Models for Paragraph-Level Question Generation | ['Asahi Ushio', 'Fernando Alva-Manchego', 'Jose Camacho-Collados'] | ['cs.CL'] | Powerful generative models have led to recent progress in question generation
(QG). However, it is difficult to measure advances in QG research since there
are no standardized resources that allow a uniform comparison among approaches.
In this paper, we introduce QG-Bench, a multilingual and multidomain benchmark
for Q... | 2022-10-08T10:24:39Z | EMNLP 2022 main conference | null | null | Generative Language Models for Paragraph-Level Question Generation | ['Asahi Ushio', 'Fernando Alva-Manchego', 'José Camacho-Collados'] | 2,022 | Conference on Empirical Methods in Natural Language Processing | 48 | 72 | ['Computer Science'] |
2,210.04264 | CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds | ['Haiyang Wang', 'Lihe Ding', 'Shaocong Dong', 'Shaoshuai Shi', 'Aoxue Li', 'Jianan Li', 'Zhenguo Li', 'Liwei Wang'] | ['cs.CV'] | We present a novel two-stage fully sparse convolutional 3D object detection
framework, named CAGroup3D. Our proposed method first generates some
high-quality 3D proposals by leveraging the class-aware local group strategy on
the object surface voxels with the same semantic predictions, which considers
semantic consiste... | 2022-10-09T13:38:48Z | Accept by NeurIPS2022 | null | null | null | null | null | null | null | null | null |
2,210.04267 | Spread Love Not Hate: Undermining the Importance of Hateful Pre-training
for Hate Speech Detection | ['Omkar Gokhale', 'Aditya Kane', 'Shantanu Patankar', 'Tanmay Chavan', 'Raviraj Joshi'] | ['cs.CL', 'cs.AI'] | Pre-training large neural language models, such as BERT, has led to
impressive gains on many natural language processing (NLP) tasks. Although this
method has proven to be effective for many domains, it might not always provide
desirable benefits. In this paper, we study the effects of hateful pre-training
on low-resou... | 2022-10-09T13:53:06Z | null | null | null | Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech Detection | ['Omkar Gokhale', 'Aditya Kane', 'Shantanu Patankar', 'Tanmay Chavan', 'Raviraj Joshi'] | 2,022 | arXiv.org | 7 | 28 | ['Computer Science'] |
2,210.05109 | BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset | ['Ajwad Akil', 'Najrin Sultana', 'Abhik Bhattacharjee', 'Rifat Shahriyar'] | ['cs.CL'] | In this work, we present BanglaParaphrase, a high-quality synthetic Bangla
Paraphrase dataset curated by a novel filtering pipeline. We aim to take a step
towards alleviating the low resource status of the Bangla language in the NLP
domain through the introduction of BanglaParaphrase, which ensures quality by
preservin... | 2022-10-11T02:52:31Z | AACL 2022 (camera-ready) | null | null | BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset | ['Ajwad Akil', 'Najrin Sultana', 'Abhik Bhattacharjee', 'Rifat Shahriyar'] | 2,022 | AACL | 19 | 37 | ['Computer Science'] |
2,210.05147 | Markup-to-Image Diffusion Models with Scheduled Sampling | ['Yuntian Deng', 'Noriyuki Kojima', 'Alexander M. Rush'] | ['cs.LG', 'cs.CL', 'cs.CV'] | Building on recent advances in image generation, we present a fully
data-driven approach to rendering markup into images. The approach is based on
diffusion models, which parameterize the distribution of data using a sequence
of denoising operations on top of a Gaussian noise distribution. We view the
diffusion denoisi... | 2022-10-11T04:56:12Z | null | null | null | null | null | null | null | null | null | null |
2,210.05287 | Revisiting and Advancing Chinese Natural Language Understanding with
Accelerated Heterogeneous Knowledge Pre-training | ['Taolin Zhang', 'Junwei Dong', 'Jianing Wang', 'Chengyu Wang', 'Ang Wang', 'Yinghui Liu', 'Jun Huang', 'Yong Li', 'Xiaofeng He'] | ['cs.CL'] | Recently, knowledge-enhanced pre-trained language models (KEPLMs) improve
context-aware representations via learning from structured relations in
knowledge graphs, and/or linguistic knowledge from syntactic or dependency
analysis. Unlike English, there is a lack of high-performing open-source
Chinese KEPLMs in the natu... | 2022-10-11T09:34:21Z | EMNLP 2022 industry track | null | null | null | null | null | null | null | null | null |
2,210.05529 | An Exploration of Hierarchical Attention Transformers for Efficient Long
Document Classification | ['Ilias Chalkidis', 'Xiang Dai', 'Manos Fergadiotis', 'Prodromos Malakasiotis', 'Desmond Elliott'] | ['cs.CL'] | Non-hierarchical sparse attention Transformer-based models, such as
Longformer and Big Bird, are popular approaches to working with long documents.
There are clear benefits to these approaches compared to the original
Transformer in terms of efficiency, but Hierarchical Attention Transformer
(HAT) models are a vastly u... | 2022-10-11T15:17:56Z | null | null | null | null | null | null | null | null | null | null |
2,210.05549 | Continual Training of Language Models for Few-Shot Learning | ['Zixuan Ke', 'Haowei Lin', 'Yijia Shao', 'Hu Xu', 'Lei Shu', 'Bing Liu'] | ['cs.CL', 'cs.AI', 'cs.LG', 'cs.NE'] | Recent work on applying large language models (LMs) achieves impressive
performance in many NLP applications. Adapting or posttraining an LM using an
unlabeled domain corpus can produce even better performance for end-tasks in
the domain. This paper proposes the problem of continually extending an LM by
incrementally p... | 2022-10-11T15:43:58Z | null | EMNLP 2022 | null | Continual Training of Language Models for Few-Shot Learning | ['Zixuan Ke', 'Haowei Lin', 'Yijia Shao', 'Hu Xu', 'Lei Shu', 'Bin Liu'] | 2,022 | Conference on Empirical Methods in Natural Language Processing | 36 | 64 | ['Computer Science'] |
2,210.0561 | MTet: Multi-domain Translation for English and Vietnamese | ['Chinh Ngo', 'Trieu H. Trinh', 'Long Phan', 'Hieu Tran', 'Tai Dang', 'Hieu Nguyen', 'Minh Nguyen', 'Minh-Thang Luong'] | ['cs.CL', 'cs.AI'] | We introduce MTet, the largest publicly available parallel corpus for
English-Vietnamese translation. MTet consists of 4.2M high-quality training
sentence pairs and a multi-domain test set refined by the Vietnamese research
community. Combining with previous works on English-Vietnamese translation, we
grow the existing... | 2022-10-11T16:55:21Z | null | null | null | MTet: Multi-domain Translation for English and Vietnamese | ['C. Ngo', 'Trieu H. Trinh', 'Long Phan', 'H. Tran', 'Tai Dang', 'H. Nguyen', 'Minh Le Nguyen', 'Minh-Thang Luong'] | 2,022 | arXiv.org | 9 | 37 | ['Computer Science'] |
2,210.05791 | Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm
Reduction | ['Renee Shelby', 'Shalaleh Rismani', 'Kathryn Henne', 'AJung Moon', 'Negar Rostamzadeh', 'Paul Nicholas', "N'Mah Yilla", 'Jess Gallegos', 'Andrew Smart', 'Emilio Garcia', 'Gurleen Virk'] | ['cs.HC', 'cs.GL'] | Understanding the landscape of potential harms from algorithmic systems
enables practitioners to better anticipate consequences of the systems they
build. It also supports the prospect of incorporating controls to help minimize
harms that emerge from the interplay of technologies and social and cultural
dynamics. A gro... | 2022-10-11T21:22:30Z | null | null | null | null | null | null | null | null | null | null |
2,210.05844 | SegViT: Semantic Segmentation with Plain Vision Transformers | ['Bowen Zhang', 'Zhi Tian', 'Quan Tang', 'Xiangxiang Chu', 'Xiaolin Wei', 'Chunhua Shen', 'Yifan Liu'] | ['cs.CV'] | We explore the capability of plain Vision Transformers (ViTs) for semantic
segmentation and propose the SegVit. Previous ViT-based segmentation networks
usually learn a pixel-level representation from the output of the ViT.
Differently, we make use of the fundamental component -- attention mechanism,
to generate masks ... | 2022-10-12T00:30:26Z | 9 Pages, NeurIPS 2022 | null | null | null | null | null | null | null | null | null |
2,210.06044 | Multi-Granularity Cross-modal Alignment for Generalized Medical Visual
Representation Learning | ['Fuying Wang', 'Yuyin Zhou', 'Shujun Wang', 'Varut Vardhanabhuti', 'Lequan Yu'] | ['cs.CV', 'cs.AI', 'cs.CL'] | Learning medical visual representations directly from paired radiology
reports has become an emerging topic in representation learning. However,
existing medical image-text joint learning methods are limited by instance or
local supervision analysis, ignoring disease-level semantic correspondences. In
this paper, we pr... | 2022-10-12T09:31:39Z | NeurIPS 2022 | null | null | Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning | ['Fuying Wang', 'Yuyin Zhou', 'Shujun Wang', 'V. Vardhanabhuti', 'Lequan Yu'] | 2,022 | Neural Information Processing Systems | 149 | 83 | ['Computer Science'] |
2,210.06155 | ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich
Document Understanding | ['Qiming Peng', 'Yinxu Pan', 'Wenjin Wang', 'Bin Luo', 'Zhenyu Zhang', 'Zhengjie Huang', 'Teng Hu', 'Weichong Yin', 'Yongfeng Chen', 'Yin Zhang', 'Shikun Feng', 'Yu Sun', 'Hao Tian', 'Hua Wu', 'Haifeng Wang'] | ['cs.CL', 'cs.AI'] | Recent years have witnessed the rise and success of pre-training techniques
in visually-rich document understanding. However, most existing methods lack
the systematic mining and utilization of layout-centered knowledge, leading to
sub-optimal performances. In this paper, we propose ERNIE-Layout, a novel
document pre-t... | 2022-10-12T12:59:24Z | Accepted to EMNLP 2022 (Findings) | null | null | ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding | ['Qiming Peng', 'Yinxu Pan', 'Wenjin Wang', 'Bin Luo', 'Zhenyu Zhang', 'Zhengjie Huang', 'Teng Hu', 'Weichong Yin', 'Yongfeng Chen', 'Yin Zhang', 'Shi Feng', 'Yu Sun', 'Hao Tian', 'Hua Wu', 'Haifeng Wang'] | 2,022 | Conference on Empirical Methods in Natural Language Processing | 83 | 40 | ['Computer Science'] |
2,210.06244 | A context-aware knowledge transferring strategy for CTC-based ASR | ['Ke-Han Lu', 'Kuan-Yu Chen'] | ['cs.CL', 'cs.SD', 'eess.AS'] | Non-autoregressive automatic speech recognition (ASR) modeling has received
increasing attention recently because of its fast decoding speed and superior
performance. Among representatives, methods based on the connectionist temporal
classification (CTC) are still a dominating stream. However, the theoretically
inheren... | 2022-10-12T14:31:38Z | Accepted by SLT 2022 | null | null | null | null | null | null | null | null | null |
2,210.06345 | Variational Open-Domain Question Answering | ['Valentin Liévin', 'Andreas Geert Motzfeldt', 'Ida Riis Jensen', 'Ole Winther'] | ['cs.CL', 'cs.IR', 'cs.LG', 'I.2.7; H.3.3; I.2.1'] | Retrieval-augmented models have proven to be effective in natural language
processing tasks, yet there remains a lack of research on their optimization
using variational inference. We introduce the Variational Open-Domain (VOD)
framework for end-to-end training and evaluation of retrieval-augmented models,
focusing on ... | 2022-09-23T10:25:59Z | 28 pages, 5 figures. Accepted at ICML 2023 | null | null | null | null | null | null | null | null | null |
2,210.06353 | Russian Web Tables: A Public Corpus of Web Tables for Russian Language
Based on Wikipedia | ['Platon Fedorov', 'Alexey Mironov', 'George Chernishev'] | ['cs.CL', 'cs.DL', 'cs.IR', 'cs.LG', 'H.3.0'] | Corpora that contain tabular data such as WebTables are a vital resource for
the academic community. Essentially, they are the backbone of any modern
research in information management. They are used for various tasks of data
extraction, knowledge base construction, question answering, column semantic
type detection an... | 2022-10-03T16:15:48Z | null | null | null | Russian Web Tables: A Public Corpus of Web Tables for Russian Language Based on Wikipedia | ['Platon Fedorov', 'Alexey Mironov', 'G. Chernishev'] | 2,022 | Lobachevskii Journal of Mathematics | 1 | 15 | ['Computer Science'] |
2,210.06423 | Foundation Transformers | ['Hongyu Wang', 'Shuming Ma', 'Shaohan Huang', 'Li Dong', 'Wenhui Wang', 'Zhiliang Peng', 'Yu Wu', 'Payal Bajaj', 'Saksham Singhal', 'Alon Benhaim', 'Barun Patra', 'Zhun Liu', 'Vishrav Chaudhary', 'Xia Song', 'Furu Wei'] | ['cs.LG', 'cs.CL', 'cs.CV'] | A big convergence of model architectures across language, vision, speech, and
multimodal is emerging. However, under the same name "Transformers", the above
areas use different implementations for better performance, e.g.,
Post-LayerNorm for BERT, and Pre-LayerNorm for GPT and vision Transformers. We
call for the devel... | 2022-10-12T17:16:27Z | Work in progress | null | null | null | null | null | null | null | null | null |
2,210.06551 | MotionBERT: A Unified Perspective on Learning Human Motion
Representations | ['Wentao Zhu', 'Xiaoxuan Ma', 'Zhaoyang Liu', 'Libin Liu', 'Wayne Wu', 'Yizhou Wang'] | ['cs.CV'] | We present a unified perspective on tackling various human-centric video
tasks by learning human motion representations from large-scale and
heterogeneous data resources. Specifically, we propose a pretraining stage in
which a motion encoder is trained to recover the underlying 3D motion from
noisy partial 2D observati... | 2022-10-12T19:46:25Z | ICCV 2023 Camera Ready | null | null | MotionBERT: A Unified Perspective on Learning Human Motion Representations | ['Wenjie Zhu', 'Xiaoxuan Ma', 'Zhaoyang Liu', 'Libin Liu', 'Wayne Wu', 'Yizhou Wang'] | 2,022 | IEEE International Conference on Computer Vision | 154 | 145 | ['Computer Science'] |
2,210.07197 | Towards a Unified Multi-Dimensional Evaluator for Text Generation | ['Ming Zhong', 'Yang Liu', 'Da Yin', 'Yuning Mao', 'Yizhu Jiao', 'Pengfei Liu', 'Chenguang Zhu', 'Heng Ji', 'Jiawei Han'] | ['cs.CL'] | Multi-dimensional evaluation is the dominant paradigm for human evaluation in
Natural Language Generation (NLG), i.e., evaluating the generated text from
multiple explainable dimensions, such as coherence and fluency. However,
automatic evaluation in NLG is still dominated by similarity-based metrics, and
we lack a rel... | 2022-10-13T17:17:03Z | EMNLP 2022 | null | null | Towards a Unified Multi-Dimensional Evaluator for Text Generation | ['Ming Zhong', 'Yang Liu', 'Da Yin', 'Yuning Mao', 'Yizhu Jiao', 'Peng Liu', 'Chenguang Zhu', 'Heng Ji', 'Jiawei Han'] | 2,022 | Conference on Empirical Methods in Natural Language Processing | 276 | 55 | ['Computer Science'] |
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