Caiming Xiong

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Microsoft ∙ Salesforce ∙ University at Buffalo

Director of Research, AI/ML at Salesforce

Featured Co-authors

Yoshua Bengio
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Philip S. Yu
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Kyunghyun Cho
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Richard Socher
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Understanding the Under-Coverage Bias in Uncertainty Estimation

Estimating the data uncertainty in regression tasks is often done by lea...
06/10/2021 ∙ by Yu Bai, et al. ∙ 17 ∙ share

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ERMAS: Becoming Robust to Reward Function Sim-to-Real Gaps in Multi-Agent Simulations

Multi-agent simulations provide a scalable environment for learning poli...
06/10/2021 ∙ by Eric Zhao, et al. ∙ 0 ∙ share

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Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning

Recent theoretical work studies sample-efficient reinforcement learning ...
06/09/2021 ∙ by Tengyang Xie, et al. ∙ 10 ∙ share

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Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection

Pretrained Transformer-based models were reported to be robust in intent...
06/08/2021 ∙ by Jian-Guo Zhang, et al. ∙ 19 ∙ share

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Evaluating State-of-the-Art Classification Models Against Bayes Optimality

Evaluating the inherent difficulty of a given data-driven classification...
06/07/2021 ∙ by Ryan Theisen, et al. ∙ 0 ∙ share

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Unsupervised Out-of-Domain Detection via Pre-trained Transformers

Deployed real-world machine learning applications are often subject to u...
06/02/2021 ∙ by Keyang Xu, et al. ∙ 0 ∙ share

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Controllable Abstractive Dialogue Summarization with Sketch Supervision

In this paper, we aim to improve abstractive dialogue summarization qual...
05/28/2021 ∙ by Chien-Sheng Wu, et al. ∙ 0 ∙ share

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BookSum: A Collection of Datasets for Long-form Narrative Summarization

The majority of available text summarization datasets include short-form...
05/18/2021 ∙ by Wojciech Kryściński, et al. ∙ 11 ∙ share

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QAConv: Question Answering on Informative Conversations

This paper introduces QAConv, a new question answering (QA) dataset that...
05/14/2021 ∙ by Chien-Sheng Wu, et al. ∙ 12 ∙ share

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Pseudo Siamese Network for Few-shot Intent Generation

Few-shot intent detection is a challenging task due to the scare annotat...
05/03/2021 ∙ by Congying Xia, et al. ∙ 0 ∙ share

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Learning to Synthesize Data for Semantic Parsing

Synthesizing data for semantic parsing has gained increasing attention r...
04/12/2021 ∙ by Bailin Wang, et al. ∙ 0 ∙ share

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Causal-aware Safe Policy Improvement for Task-oriented dialogue

The recent success of reinforcement learning's (RL) in solving complex t...
03/10/2021 ∙ by Govardana Sachithanandam Ramachandran, et al. ∙ 0 ∙ share

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Structured Scene Memory for Vision-Language Navigation

Recently, numerous algorithms have been developed to tackle the problem ...
03/05/2021 ∙ by Hanqing Wang, et al. ∙ 0 ∙ share

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Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games

Real world applications such as economics and policy making often involv...
02/23/2021 ∙ by Yu Bai, et al. ∙ 1 ∙ share

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Localized Calibration: Metrics and Recalibration

Probabilistic classifiers output confidence scores along with their pred...
02/22/2021 ∙ by Rachel Luo, et al. ∙ 1 ∙ share

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Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification

Modern machine learning models with high accuracy are often miscalibrate...
02/15/2021 ∙ by Yu Bai, et al. ∙ 8 ∙ share

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Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models

In this work, we explore joint energy-based model (EBM) training during ...
01/18/2021 ∙ by Tianxing He, et al. ∙ 0 ∙ share

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Robustness Gym: Unifying the NLP Evaluation Landscape

Despite impressive performance on standard benchmarks, deep neural netwo...
01/13/2021 ∙ by Karan Goel, et al. ∙ 2 ∙ share

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FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging

Influence functions approximate the 'influences' of training data-points...
12/31/2020 ∙ by Han Guo, et al. ∙ 9 ∙ share

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Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization

The early phase of training has been shown to be important in two ways f...
12/28/2020 ∙ by Stanisław Jastrzębski, et al. ∙ 16 ∙ share

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Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing

We present BRIDGE, a powerful sequential architecture for modeling depen...
12/23/2020 ∙ by Xi Victoria Lin, et al. ∙ 0 ∙ share

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CTRLsum: Towards Generic Controllable Text Summarization

Current summarization systems yield generic summaries that are disconnec...
12/08/2020 ∙ by Junxian He, et al. ∙ 0 ∙ share

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GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning

Disparate access to resources by different subpopulations is a prevalent...
12/07/2020 ∙ by Govardana Sachithanandam Ramachandran, et al. ∙ 0 ∙ share

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NaturalCC: A Toolkit to Naturalize the Source Code Corpus

We present NaturalCC, an efficient and extensible toolkit to bridge the ...
12/06/2020 ∙ by Yao Wan, et al. ∙ 0 ∙ share

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Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition

One crucial challenge of real-world multilingual speech recognition is t...
12/03/2020 ∙ by Genta Indra Winata, et al. ∙ 0 ∙ share

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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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