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08/12/2023
Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation
Graph-based diffusion models have shown promising results in terms of ge...
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08/07/2023
Efficient Temporal Sentence Grounding in Videos with Multi-Teacher Knowledge Distillation
Temporal Sentence Grounding in Videos (TSGV) aims to detect the event ti...
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07/22/2023
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs
Goal-Conditioned Hierarchical Reinforcement Learning (GCHRL) is a promis...
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05/24/2023
PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification
We present PESCO, a novel contrastive learning framework that substantia...
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05/22/2023
Policy Representation via Diffusion Probability Model for Reinforcement Learning
Popular reinforcement learning (RL) algorithms tend to produce a unimoda...
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05/19/2023
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs
A popular approach for improving the correctness of output from large la...
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05/11/2023
Active Retrieval Augmented Generation
Despite the remarkable ability of large language models (LMs) to compreh...
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05/04/2023
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
Recent AI-assistant agents, such as ChatGPT, predominantly rely on super...
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04/24/2023
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-tuned GPT
Moreover, GPT-based zero-shot classification models tend to make indepen...
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03/30/2023
Self-Refine: Iterative Refinement with Self-Feedback
Like people, LLMs do not always generate the best text for a given gener...
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02/16/2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Neural network-based Combinatorial Optimization (CO) methods have shown ...
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02/16/2023
A Neural PDE Solver with Temporal Stencil Modeling
Numerical simulation of non-linear partial differential equations plays ...
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02/15/2023
Learning Performance-Improving Code Edits
The waning of Moore's Law has shifted the focus of the tech industry tow...
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02/03/2023
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
We propose a new class of linear Transformers called FourierLearner-Tran...
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11/18/2022
PAL: Program-aided Language Models
Large language models (LLMs) have recently demonstrated an impressive ab...
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10/13/2022
Language Models of Code are Few-Shot Commonsense Learners
We address the general task of structured commonsense reasoning: given a...
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10/08/2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Recently, deep reinforcement learning (DRL) models have shown promising ...
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10/04/2022
Recitation-Augmented Language Models
We propose a new paradigm to help Large Language Models (LLMs) generate ...
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07/15/2022
FLOWGEN: Fast and slow graph generation
We present FLOWGEN, a graph-generation model inspired by the dual-proces...
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05/25/2022
Conditional set generation using Seq2seq models
Conditional set generation learns a mapping from an input sequence of to...
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04/02/2022
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions
Extreme Multi-label Text Classification (XMTC) has been a tough challeng...
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04/02/2022
Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification
Extreme multi-label text classification (XMTC) is the task of tagging ea...
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03/31/2022
Traffic4cast at NeurIPS 2021 – Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that...
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01/16/2022
Memory-assisted prompt editing to improve GPT-3 after deployment
Large LMs such as GPT-3, while powerful, are not immune to mistakes, but...
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12/16/2021
Improving scripts with a memory of natural feedback
How can an end-user provide feedback if a deployed structured prediction...
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12/15/2021
Interscript: A dataset for interactive learning of scripts through error feedback
How can an end-user provide feedback if a deployed structured prediction...
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10/21/2021
Dual Encoding U-Net for Spatio-Temporal Domain Shift Frame Prediction
The landscape of city-wide mobility behaviour has altered significantly ...
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10/08/2021
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
Current Open-Domain Question Answering (ODQA) model paradigm often conta...
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04/18/2021
Improving Neural Model Performance through Natural Language Feedback on Their Explanations
A class of explainable NLP models for reasoning tasks support their deci...
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04/16/2021
Improving Hyper-Relational Knowledge Graph Completion
Different from traditional knowledge graphs (KGs) where facts are repres...
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04/06/2021
General Robot Dynamics Learning and Gen2Real
Acquiring dynamics is an essential topic in robot learning, but up-to-da...
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02/15/2021
Meta Back-translation
Back-translation is an effective strategy to improve the performance of ...
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11/25/2020
Handling Noisy Labels via One-Step Abductive Multi-Target Learning
Learning from noisy labels is an important concern because of the lack o...
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11/21/2020
Rethinking Transformer-based Set Prediction for Object Detection
DETR is a recently proposed Transformer-based method which views object ...
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11/02/2020
On the Sentence Embeddings from Pre-trained Language Models
Pre-trained contextual representations like BERT have achieved great suc...
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10/20/2020
Neural Language Modeling for Contextualized Temporal Graph Generation
This paper presents the first study on using large-scale pre-trained lan...
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10/02/2020
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
Knowledge graphs (KGs) contain rich information about world knowledge, e...
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09/18/2020
Unsupervised Parallel Corpus Mining on Web Data
With a large amount of parallel data, neural machine translation systems...
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07/06/2020
Kernel Stein Generative Modeling
We are interested in gradient-based Explicit Generative Modeling where s...
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06/29/2020
An EM Approach to Non-autoregressive Conditional Sequence Generation
Autoregressive (AR) models have been the dominating approach to conditio...
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06/12/2020
Generalized Multi-Relational Graph Convolution Network
Graph Convolutional Networks (GCNs) have received increasing attention i...
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06/05/2020
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing
With the success of language pretraining, it is highly desirable to deve...
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05/02/2020
Predicting Performance for Natural Language Processing Tasks
Given the complexity of combinations of tasks, languages, and domains in...
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04/29/2020
Politeness Transfer: A Tag and Generate Approach
This paper introduces a new task of politeness transfer which involves c...
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04/24/2020
Practical Comparable Data Collection for Low-Resource Languages via Images
We propose a method of curating high-quality comparable training data fo...
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04/24/2020
Explainable Unsupervised Change-point Detection via Graph Neural Networks
Change-point detection (CPD) aims at detecting the abrupt property chang...
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04/06/2020
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
Natural Language Processing (NLP) has recently achieved great success by...
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03/25/2020
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference
We introduce a new task, Video-and-Language Inference, for joint multimo...
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03/17/2020
An Algorithm for Computing a Minimal Comprehensive Gröbner Basis of a Parametric Polynomial System
An algorithm to generate a minimal comprehensive Gröbner basis of a par...
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02/10/2020