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09/20/2023
Chain-of-Verification Reduces Hallucination in Large Language Models
Generation of plausible yet incorrect factual information, termed halluc...
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09/18/2023
TransTouch: Learning Transparent Objects Depth Sensing Through Sparse Touches
Transparent objects are common in daily life. However, depth sensing for...
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08/04/2023
BlindSage: Label Inference Attacks against Node-level Vertical Federated Graph Neural Networks
Federated learning enables collaborative training of machine learning mo...
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07/17/2023
A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images
Skin diseases are among the most prevalent health issues, and accurate c...
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07/06/2023
Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts
Many cognitive approaches to well-being, such as recognizing and reframi...
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07/03/2023
HODINet: High-Order Discrepant Interaction Network for RGB-D Salient Object Detection
RGB-D salient object detection (SOD) aims to detect the prominent region...
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06/15/2023
Searching for the Fakes: Efficient Neural Architecture Search for General Face Forgery Detection
As the saying goes, "seeing is believing". However, with the development...
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06/07/2023
Improving Open Language Models by Learning from Organic Interactions
We present BlenderBot 3x, an update on the conversational model BlenderB...
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06/06/2023
Quantifying the Variability Collapse of Neural Networks
Recent studies empirically demonstrate the positive relationship between...
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05/23/2023
Continual Dialogue State Tracking via Example-Guided Question Answering
Dialogue systems are frequently updated to accommodate new services, but...
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04/05/2023
Rethinking the Trigger-injecting Position in Graph Backdoor Attack
Backdoor attacks have been demonstrated as a security threat for machine...
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02/21/2023
Sim2Real^2: Actively Building Explicit Physics Model for Precise Articulated Object Manipulation
Accurately manipulating articulated objects is a challenging yet importa...
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02/20/2023
Dynamic Graph Neural Network with Adaptive Edge Attributes for Air Quality Predictions
Air quality prediction is a typical spatio-temporal modeling problem, wh...
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02/16/2023
Dialogue State Distillation Network with Inter-Slot Contrastive Learning for Dialogue State Tracking
In task-oriented dialogue systems, Dialogue State Tracking (DST) aims to...
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02/09/2023
Imperceptible Sample-Specific Backdoor to DNN with Denoising Autoencoder
The backdoor attack poses a new security threat to deep neural networks....
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02/03/2023
A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification
Deep learning achieves outstanding results in many machine learning task...
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01/28/2023
A Closer Look at Few-shot Classification Again
Few-shot classification consists of a training phase where a model is le...
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01/16/2023
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
We consider the optimization problem of the form min_x ∈ℝ^d f(x) ≜𝔼_ξ [F...
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01/02/2023
On Bilevel Optimization without Lower-level Strong Convexity
Theoretical properties of bilevel problems are well studied when the low...
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12/25/2022
TriPINet: Tripartite Progressive Integration Network for Image Manipulation Localization
Image manipulation localization aims at distinguishing forged regions fr...
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11/10/2022
The CRINGE Loss: Learning what language not to model
Standard language model training employs gold human documents or human-h...
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10/30/2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
Few-shot learning (FSL) targets at generalization of vision models towar...
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10/28/2022
When Life Gives You Lemons, Make Cherryade: Converting Feedback from Bad Responses into Good Labels
Deployed dialogue agents have the potential to integrate human feedback ...
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09/16/2022
A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction
Emotion-cause pair extraction (ECPE) is an emerging task in emotion caus...
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09/01/2022
Dumbo-NG: Fast Asynchronous BFT Consensus with Throughput-Oblivious Latency
Despite recent progresses of practical asynchronous Byzantine fault tole...
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08/05/2022
Learning from data in the mixed adversarial non-adversarial case: Finding the helpers and ignoring the trolls
The promise of interaction between intelligent conversational agents and...
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08/05/2022
Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback
Frozen models trained to mimic static datasets can never improve their p...
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08/05/2022
BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage
We present BlenderBot 3, a 175B parameter dialogue model capable of open...
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08/03/2022
SSformer: A Lightweight Transformer for Semantic Segmentation
It is well believed that Transformer performs better in semantic segment...
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07/27/2022
Label-Only Membership Inference Attack against Node-Level Graph Neural Networks
Graph Neural Networks (GNNs), inspired by Convolutional Neural Networks ...
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06/16/2022
Channel Importance Matters in Few-Shot Image Classification
Few-Shot Learning (FSL) requires vision models to quickly adapt to brand...
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03/17/2022
Micro-Randomized Trial with Flexible Design and Sample Size Considerations
Technological advancements have made it possible to deliver mobile healt...
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03/04/2022
Freeform Body Motion Generation from Speech
People naturally conduct spontaneous body motions to enhance their speec...
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02/12/2022
Relaxing the Feature Covariance Assumption: Time-Variant Bounds for Benign Overfitting in Linear Regression
Benign overfitting demonstrates that overparameterized models can perfor...
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01/28/2022
Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation
In this paper, we focus on the simulation of active stereovision depth s...
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12/23/2021
S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation
Emotion recognition in conversation (ERC) has attracted much attention i...
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12/14/2021
Exploring Category-correlated Feature for Few-shot Image Classification
Few-shot classification aims to adapt classifiers to novel classes with ...
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11/01/2021
Noise Error Pattern Generation Based on Successive Addition-Subtraction for Guessing Decoding
Guessing random additive noise decoding (GRAND) algorithm has emerged as...
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10/21/2021
Watermarking Graph Neural Networks based on Backdoor Attacks
Graph Neural Networks (GNNs) have achieved promising performance in vari...
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10/15/2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
Being able to predict the mental states of others is a key factor to eff...
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10/14/2021
SaFeRDialogues: Taking Feedback Gracefully after Conversational Safety Failures
Current open-domain conversational models can easily be made to talk in ...
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09/10/2021
Boosting Graph Search with Attention Network for Solving the General Orienteering Problem
Recently, several studies have explored the use of neural network to sol...
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08/30/2021
RSKNet-MTSP: Effective and Portable Deep Architecture for Speaker Verification
The convolutional neural network (CNN) based approaches have shown great...
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08/17/2021
Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net
Existing salient object detection (SOD) methods mainly rely on CNN-based...
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07/30/2021
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers
Deep neural networks represent a powerful option for many real-world app...
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07/22/2021
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image
Optical Coherence Tomography Angiography (OCTA) is a non-invasive and no...
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07/15/2021
Beyond Goldfish Memory: Long-Term Open-Domain Conversation
Despite recent improvements in open-domain dialogue models, state of the...
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06/21/2021
FedCM: Federated Learning with Client-level Momentum
Federated Learning is a distributed machine learning approach which enab...
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06/17/2021
On Anytime Learning at Macroscale
Classical machine learning frameworks assume access to a possibly large ...
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06/15/2021