Caiming Xiong

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Microsoft ∙ Salesforce ∙ University at Buffalo

Director of Research, AI/ML at Salesforce

Featured Co-authors

Yoshua Bengio
337 publications
Bo Li
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Philip S. Yu
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Jiashi Feng
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Richard Socher
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Devi Parikh
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Song-Chun Zhu
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Larry S. Davis
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CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

Semi-supervised learning has been an effective paradigm for leveraging u...
11/23/2020 ∙ by Junnan Li, et al. ∙ 0 ∙ share

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What's New? Summarizing Contributions in Scientific Literature

With thousands of academic articles shared on a daily basis, it has beco...
11/06/2020 ∙ by Hiroaki Hayashi, et al. ∙ 0 ∙ share

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Improving Limited Labeled Dialogue State Tracking with Self-Supervision

Existing dialogue state tracking (DST) models require plenty of labeled ...
10/26/2020 ∙ by Chien-Sheng Wu, et al. ∙ 0 ∙ share

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Probing Task-Oriented Dialogue Representation from Language Models

This paper investigates pre-trained language models to find out which mo...
10/26/2020 ∙ by Chien-Sheng Wu, et al. ∙ 0 ∙ share

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Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference

Intent detection is one of the core components of goal-oriented dialog s...
10/25/2020 ∙ by Jian-Guo Zhang, et al. ∙ 10 ∙ share

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Unsupervised Paraphrase Generation via Dynamic Blocking

We propose Dynamic Blocking, a decoding algorithm which enables large-sc...
10/24/2020 ∙ by Tong Niu, et al. ∙ 5 ∙ share

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CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers

Dialogue state trackers have made significant progress on benchmark data...
10/24/2020 ∙ by Shiyang Li, et al. ∙ 2 ∙ share

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Online Structured Meta-learning

Learning quickly is of great importance for machine intelligence deploye...
10/22/2020 ∙ by Huaxiu Yao, et al. ∙ 6 ∙ share

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Explaining and Improving Model Behavior with k Nearest Neighbor Representations

Interpretability techniques in NLP have mainly focused on understanding ...
10/18/2020 ∙ by Nazneen Fatema Rajani, et al. ∙ 0 ∙ share

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How Important is the Train-Validation Split in Meta-Learning?

Meta-learning aims to perform fast adaptation on a new task through lear...
10/12/2020 ∙ by Yu Bai, et al. ∙ 10 ∙ share

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Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning

It is not clear yet why ADAM-alike adaptive gradient algorithms suffer f...
10/12/2020 ∙ by Pan Zhou, et al. ∙ 46 ∙ share

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Representation Learning for Sequence Data with Deep Autoencoding Predictive Components

We propose Deep Autoencoding Predictive Components (DAPC) – a self-super...
10/07/2020 ∙ by Junwen Bai, et al. ∙ 0 ∙ share

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Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start

A standard way to address different NLP problems is by first constructin...
10/06/2020 ∙ by Wenpeng Yin, et al. ∙ 0 ∙ share

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Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading

Document interpretation and dialog understanding are the two major chall...
10/05/2020 ∙ by Yifan Gao, et al. ∙ 6 ∙ share

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GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing

We present GraPPa, an effective pre-training approach for table semantic...
09/29/2020 ∙ by Tao Yu, et al. ∙ 1 ∙ share

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Composed Variational Natural Language Generation for Few-shot Intents

In this paper, we focus on generating training examples for few-shot int...
09/21/2020 ∙ by Congying Xia, et al. ∙ 0 ∙ share

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MoPro: Webly Supervised Learning with Momentum Prototypes

We propose a webly-supervised representation learning method that does n...
09/17/2020 ∙ by Junnan Li, et al. ∙ 8 ∙ share

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Photon: A Robust Cross-Domain Text-to-SQL System

Natural language interfaces to databases (NLIDB) democratize end user ac...
07/30/2020 ∙ by Jichuan Zeng, et al. ∙ 13 ∙ share

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SummEval: Re-evaluating Summarization Evaluation

The scarcity of comprehensive up-to-date studies on evaluation metrics f...
07/24/2020 ∙ by Alexander R. Fabbri, et al. ∙ 0 ∙ share

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DART: Open-Domain Structured Data Record to Text Generation

We introduce DART, a large dataset for open-domain structured data recor...
07/06/2020 ∙ by Dragomir Radev, et al. ∙ 0 ∙ share

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Theory-Inspired Path-Regularized Differential Network Architecture Search

Despite its high search efficiency, differential architecture search (DA...
06/30/2020 ∙ by Pan Zhou, et al. ∙ 0 ∙ share

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BERTology Meets Biology: Interpreting Attention in Protein Language Models

Transformer architectures have proven to learn useful representations fo...
06/26/2020 ∙ by Jesse Vig, et al. ∙ 0 ∙ share

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Towards Understanding Hierarchical Learning: Benefits of Neural Representations

Deep neural networks can empirically perform efficient hierarchical lear...
06/24/2020 ∙ by Minshuo Chen, et al. ∙ 5 ∙ share

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A High-Quality Multilingual Dataset for Structured Documentation Translation

This paper presents a high-quality multilingual dataset for the document...
06/24/2020 ∙ by Kazuma Hashimoto, et al. ∙ 0 ∙ share

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WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos

Online action detection in untrimmed videos aims to identify an action a...
06/05/2020 ∙ by Mingfei Gao, et al. ∙ 0 ∙ share

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EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading

The goal of conversational machine reading is to answer user questions g...
05/26/2020 ∙ by Yifan Gao, et al. ∙ 0 ∙ share

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Prototypical Contrastive Learning of Unsupervised Representations

This paper presents Prototypical Contrastive Learning (PCL), an unsuperv...
05/11/2020 ∙ by Junnan Li, et al. ∙ 10 ∙ share

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Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation

Word embeddings derived from human-generated corpora inherit strong gend...
05/03/2020 ∙ by Tianlu Wang, et al. ∙ 0 ∙ share

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ESPRIT: Explaining Solutions to Physical Reasoning Tasks

Neural networks lack the ability to reason about qualitative physics and...
05/02/2020 ∙ by Nazneen Fatema Rajani, et al. ∙ 0 ∙ share

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VD-BERT: A Unified Vision and Dialog Transformer with BERT

Visual dialog is a challenging vision-language task, where a dialog agen...
04/28/2020 ∙ by Yue Wang, et al. ∙ 6 ∙ share

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ToD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogues

The use of pre-trained language models has emerged as a promising direct...
04/15/2020 ∙ by Chien-Sheng Wu, et al. ∙ 0 ∙ share

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Towards Noise-resistant Object Detection with Noisy Annotations

Training deep object detectors requires significant amount of human-anno...
03/03/2020 ∙ by Junnan Li, et al. ∙ 2 ∙ share

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Differentially Private Deep Learning with Smooth Sensitivity

Ensuring the privacy of sensitive data used to train modern machine lear...
03/01/2020 ∙ by Lichao Sun, et al. ∙ 14 ∙ share

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Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT

There is an increasing amount of literature that claims the brittleness ...
02/27/2020 ∙ by Lichao Sun, et al. ∙ 0 ∙ share

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Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning

We introduce a parameterization method called Neural Bayes which allows ...
02/20/2020 ∙ by Devansh Arpit, et al. ∙ 36 ∙ share

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Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width

We propose Taylorized training as an initiative towards better understan...
02/10/2020 ∙ by Yu Bai, et al. ∙ 20 ∙ share

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Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills

Acquiring abilities in the absence of a task-oriented reward function is...
02/10/2020 ∙ by Victor Campos, et al. ∙ 11 ∙ share

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Proposal Learning for Semi-Supervised Object Detection

In this paper, we focus on semi-supervised object detection to boost acc...
01/15/2020 ∙ by Peng Tang, et al. ∙ 11 ∙ share

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Learning from Noisy Anchors for One-stage Object Detection

State-of-the-art object detectors rely on regressing and classifying an ...
12/11/2019 ∙ by Hengduo Li, et al. ∙ 12 ∙ share

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LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition

This paper presents LiteEval, a simple yet effective coarse-to-fine fram...
12/03/2019 ∙ by Zuxuan Wu, et al. ∙ 9 ∙ share

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Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Answering questions that require multi-hop reasoning at web-scale necess...
11/24/2019 ∙ by Akari Asai, et al. ∙ 0 ∙ share

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Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models

AI Safety is a major concern in many deep learning applications such as ...
11/18/2019 ∙ by Tong Che, et al. ∙ 26 ∙ share

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Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models

In this paper, we explore the knowledge distillation approach under the ...
11/09/2019 ∙ by Linqing Liu, et al. ∙ 0 ∙ share

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ERASER: A Benchmark to Evaluate Rationalized NLP Models

State-of-the-art models in NLP are now predominantly based on deep neura...
11/08/2019 ∙ by Jay DeYoung, et al. ∙ 35 ∙ share

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Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards

While using shaped rewards can be beneficial when solving sparse reward ...
11/04/2019 ∙ by Alexander Trott, et al. ∙ 8 ∙ share

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Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework

Human-like chit-chat conversation requires agents to generate responses ...
10/28/2019 ∙ by Michael Shum, et al. ∙ 0 ∙ share

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Evaluating the Factual Consistency of Abstractive Text Summarization

Currently used metrics for assessing summarization algorithms do not acc...
10/28/2019 ∙ by Wojciech Kryściński, et al. ∙ 0 ∙ share

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Global Capacity Measures for Deep ReLU Networks via Path Sampling

Classical results on the statistical complexity of linear models have co...
10/22/2019 ∙ by Ryan Theisen, et al. ∙ 23 ∙ share

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Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking

Dialog State Tracking (DST) is a core component in task-oriented dialog ...
10/08/2019 ∙ by Jian-Guo Zhang, et al. ∙ 23 ∙ share

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Entropy Penalty: Towards Generalization Beyond the IID Assumption

It has been shown that instead of learning actual object features, deep ...
10/01/2019 ∙ by Devansh Arpit, et al. ∙ 11 ∙ share

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