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08/23/2023
Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies
The dynamics of biomolecules are crucial for our understanding of their ...
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08/16/2023
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System
End-to-end task-oriented dialogue (TOD) systems have achieved promising ...
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08/11/2023
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
The massive successes of large language models (LLMs) encourage the emer...
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08/04/2023
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
Recent months have seen the emergence of a powerful new trend in which l...
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07/19/2023
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
Despite advancements in conversational AI, language models encounter cha...
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07/18/2023
REX: Rapid Exploration and eXploitation for AI Agents
In this paper, we propose an enhanced approach for Rapid Exploration and...
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07/06/2023
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight
This paper studies the sample-efficiency of learning in Partially Observ...
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06/07/2023
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
Neural sequence models based on the transformer architecture have demons...
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06/01/2023
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
Text-to-image diffusion models can create stunning images from natural l...
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05/18/2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Achieving machine autonomy and human control often represent divergent o...
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05/12/2023
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training
Existing recommender systems face difficulties with zero-shot items, i.e...
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05/10/2023
ChatGPT-Like Large-Scale Foundation Models for Prognostics and Health Management: A Survey and Roadmaps
Prognostics and health management (PHM) technology plays a critical role...
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03/26/2023
Frame Flexible Network
Existing video recognition algorithms always conduct different training ...
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03/18/2023
ABC: Attention with Bilinear Correlation for Infrared Small Target Detection
Infrared small target detection (ISTD) has a wide range of applications ...
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03/16/2023
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
The field of image super-resolution (SR) has witnessed extensive neural ...
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03/16/2023
HIVE: Harnessing Human Feedback for Instructional Visual Editing
Incorporating human feedback has been shown to be crucial to align text ...
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03/10/2023
On the Unlikelihood of D-Separation
Causal discovery aims to recover a causal graph from data generated by i...
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03/09/2023
hierarchical network with decoupled knowledge distillation for speech emotion recognition
The goal of Speech Emotion Recognition (SER) is to enable computers to r...
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03/02/2023
Image as Set of Points
What is an image and how to extract latent features? Convolutional Netwo...
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02/20/2023
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems
When learning task-oriented dialogue (ToD) agents, reinforcement learnin...
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02/15/2023
Improved Online Conformal Prediction via Strongly Adaptive Online Learning
We study the problem of uncertainty quantification via prediction sets, ...
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02/02/2023
Lower Bounds for Learning in Revealing POMDPs
This paper studies the fundamental limits of reinforcement learning (RL)...
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01/28/2023
Local Contrast and Global Contextual Information Make Infrared Small Object Salient Again
Infrared small object detection (ISOS) aims to segment small objects onl...
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01/12/2023
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
The state of neural network pruning has been noticed to be unclear and e...
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12/23/2022
A Close Look at Spatial Modeling: From Attention to Convolution
Vision Transformers have shown great promise recently for many vision ta...
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12/15/2022
Real-Time Neural Light Field on Mobile Devices
Recent efforts in Neural Rendering Fields (NeRF) have shown impressive r...
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11/18/2022
Look More but Care Less in Video Recognition
Existing action recognition methods typically sample a few frames to rep...
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10/13/2022
Parameter-Efficient Masking Networks
A deeper network structure generally handles more complicated non-linear...
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08/07/2022
Generating Negative Samples for Sequential Recommendation
To make Sequential Recommendation (SR) successful, recent works focus on...
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07/25/2022
Trainability Preserving Neural Structured Pruning
Several recent works empirically find finetuning learning rate is critic...
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07/15/2022
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain
Face recognition technology has been used in many fields due to its high...
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06/06/2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence
This paper studies policy optimization algorithms for multi-agent reinfo...
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05/30/2022
STN: Scalable Tensorizing Networks via Structure-Aware Training and Adaptive Compression
Deep neural networks (DNNs) have delivered a remarkable performance in m...
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03/31/2022
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
Recent research explosion on Neural Radiance Field (NeRF) shows the enco...
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03/25/2022
A Conversational Paradigm for Program Synthesis
Program synthesis strives to generate a computer program as a solution t...
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03/08/2022
Dual Lottery Ticket Hypothesis
Fully exploiting the learning capacity of neural networks requires overp...
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02/22/2022
Efficient and Differentiable Conformal Prediction with General Function Classes
Quantifying the data uncertainty in learning tasks is often done by lear...
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12/12/2021
Semi-supervised Domain Adaptive Structure Learning
Semi-supervised domain adaptation (SSDA) is quite a challenging problem ...
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10/21/2021
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
In Domain Generalization (DG) settings, models trained on a given set of...
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10/19/2021
Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE
Wasserstein autoencoder (WAE) shows that matching two distributions is e...
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10/19/2021
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles
Pretraining convolutional neural networks via self-supervision, and appl...
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10/12/2021
Continuous Conditional Random Field Convolution for Point Cloud Segmentation
Point cloud segmentation is the foundation of 3D environmental perceptio...
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09/20/2021
Merlion: A Machine Learning Library for Time Series
We introduce Merlion, an open-source machine learning library for time s...
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09/09/2021
Multi-Tensor Network Representation for High-Order Tensor Completion
This work studies the problem of high-dimensional data (referred to tens...
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08/31/2021
WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU
Deep reinforcement learning (RL) is a powerful framework to train decisi...
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06/22/2021
Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization
Adaptive gradient methods, such as Adam, have achieved tremendous succes...
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06/10/2021
Understanding the Under-Coverage Bias in Uncertainty Estimation
Estimating the data uncertainty in regression tasks is often done by lea...
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06/09/2021
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
Recent theoretical work studies sample-efficient reinforcement learning ...
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06/07/2021
Evaluating State-of-the-Art Classification Models Against Bayes Optimality
Evaluating the inherent difficulty of a given data-driven classification...
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05/21/2021