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09/15/2023
Compositional Foundation Models for Hierarchical Planning
To make effective decisions in novel environments with long-horizon goal...
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09/07/2023
A Function Interpretation Benchmark for Evaluating Interpretability Methods
Labeling neural network submodules with human-legible descriptions is us...
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08/26/2023
Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models
To translate well, machine translation (MT) systems and general-purposed...
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08/11/2023
Hawkes Processes with Delayed Granger Causality
We aim to explicitly model the delayed Granger causal effects based on m...
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08/11/2023
Reinforcement Logic Rule Learning for Temporal Point Processes
We propose a framework that can incrementally expand the explanatory tem...
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06/21/2023
Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions
We propose a logic-informed knowledge-driven modeling framework for huma...
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06/20/2023
Contrastive Disentangled Learning on Graph for Node Classification
Contrastive learning methods have attracted considerable attention due t...
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06/20/2023
Variational Disentangled Graph Auto-Encoders for Link Prediction
With the explosion of graph-structured data, link prediction has emerged...
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06/08/2023
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
Text-to-image generative models have enabled high-resolution image synth...
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06/07/2023
Stochastic Natural Thresholding Algorithms
Sparse signal recovery is one of the most fundamental problems in variou...
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05/23/2023
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Large language models (LLMs) have demonstrated remarkable capabilities i...
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05/22/2023
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer
Cross-lingual natural language inference is a fundamental problem in cro...
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05/19/2023
Introspective Tips: Large Language Model for In-Context Decision Making
The emergence of large language models (LLMs) has substantially influenc...
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04/10/2023
PoseFusion: Robust Object-in-Hand Pose Estimation with SelectLSTM
Accurate estimation of the relative pose between an object and a robot h...
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03/26/2023
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
Label-efficient and reliable semantic segmentation is essential for many...
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03/24/2023
Robust Test-Time Adaptation in Dynamic Scenarios
Test-time adaptation (TTA) intends to adapt the pretrained model to test...
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03/23/2023
Improving Generalization with Domain Convex Game
Domain generalization (DG) tends to alleviate the poor generalization ca...
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03/20/2023
Open-vocabulary Panoptic Segmentation with Embedding Modulation
Open-vocabulary image segmentation is attracting increasing attention du...
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02/14/2023
ConceptFusion: Open-set Multimodal 3D Mapping
Building 3D maps of the environment is central to robot navigation, plan...
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12/07/2022
Artificial Intelligence Security Competition (AISC)
The security of artificial intelligence (AI) is an important research ar...
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11/22/2022
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
Generalizing models trained on normal visual conditions to target domain...
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10/20/2022
Composing Ensembles of Pre-trained Models via Iterative Consensus
Large pre-trained models exhibit distinct and complementary capabilities...
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10/18/2022
FedForgery: Generalized Face Forgery Detection with Residual Federated Learning
With the continuous development of deep learning in the field of image g...
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08/04/2022
Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification
Thanks for the cross-modal retrieval techniques, visible-infrared (RGB-I...
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08/02/2022
Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation
Extensive studies on Unsupervised Domain Adaptation (UDA) have propelled...
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07/17/2022
SP2: A Second Order Stochastic Polyak Method
Recently the "SP" (Stochastic Polyak step size) method has emerged as a ...
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06/30/2022
Learning Iterative Reasoning through Energy Minimization
Deep learning has excelled on complex pattern recognition tasks such as ...
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06/03/2022
Compositional Visual Generation with Composable Diffusion Models
Large text-guided diffusion models, such as DALLE-2, are able to generat...
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05/28/2022
Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-Objective Optimization?
Constraint violation has been a building block to design evolutionary mu...
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05/06/2022
Comparison of continuity equation and Gaussian mixture model for long-term density propagation using semi-analytical methods
This paper compares the continuum evolution for density equation modelli...
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04/26/2022
ROMA: Cross-Domain Region Similarity Matching for Unpaired Nighttime Infrared to Daytime Visible Video Translation
Infrared cameras are often utilized to enhance the night vision since th...
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04/19/2022
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
Domain adaptive semantic segmentation attempts to make satisfactory dens...
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03/27/2022
Causality Inspired Representation Learning for Domain Generalization
Domain generalization (DG) is essentially an out-of-distribution problem...
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02/14/2022
Domain Adaptation via Prompt Learning
Unsupervised domain adaption (UDA) aims to adapt models learned from a w...
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02/11/2022
Learning Temporal Rules from Noisy Timeseries Data
Events across a timeline are a common data representation, seen in diffe...
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02/03/2022
Pre-Trained Language Models for Interactive Decision-Making
Language model (LM) pre-training has proven useful for a wide variety of...
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01/18/2022
Inferring Commonsense Explanations as Prompts for Future Event Generation
Future Event Generation aims to generate fluent and reasonable future ev...
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01/09/2022
Fast solver for J2-perturbed Lambert problem using deep neural network
This paper presents a novel and fast solver for the J2-perturbed Lambert...
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01/07/2022
Local and Global Convergence of General Burer-Monteiro Tensor Optimizations
Tensor optimization is crucial to massive machine learning and signal pr...
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12/08/2021
Pareto Domain Adaptation
Domain adaptation (DA) attempts to transfer the knowledge from a labeled...
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12/06/2021
Incentive Compatible Pareto Alignment for Multi-Source Large Graphs
In this paper, we focus on learning effective entity matching models ove...
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12/02/2021
Active Learning for Domain Adaptation: An Energy-based Approach
Unsupervised domain adaptation has recently emerged as an effective para...
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11/25/2021
Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) aims to transfer knowledge from a l...
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11/25/2021
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
Self-training has greatly facilitated domain adaptive semantic segmentat...
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11/24/2021
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning
Although there is significant progress in supervised semantic segmentati...
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11/17/2021
Learning to Compose Visual Relations
The visual world around us can be described as a structured set of objec...
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11/04/2021
Unsupervised Learning of Compositional Energy Concepts
Humans are able to rapidly understand scenes by utilizing concepts extra...
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10/26/2021
Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling
The Continuous-Time Hidden Markov Model (CT-HMM) is an attractive approa...
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10/07/2021
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions
We introduce the task of weakly supervised learning for detecting human ...
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08/12/2021
