Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
33,978	24	Title: Digital Twin Graph: Automated Domain-Agnostic Construction, Fusion, and Simulation of IoT-Enabled World Abstract: With the advances of IoT developments, copious sensor data are communicated through wireless networks and create the opportunity of building Digital Twins to mirror and simulate the complex physical ...	[]	Train
33,979	30	Title: Text encoders are performance bottlenecks in contrastive vision-language models Abstract: Performant vision-language (VL) models like CLIP represent captions using a single vector. How much information about language is lost in this bottleneck? We first curate CompPrompts, a set of increasingly compositional ima...	[]	Test
33,980	24	Title: Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data Abstract: We introduce the Salesforce CausalAI Library, an open-source library for causal analysis using observational data. It supports causal discovery and causal inference for tabular and time series...	[]	Test
33,981	16	Title: StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data Abstract: The remarkable multimodal capabilities demonstrated by OpenAI's GPT-4 have sparked significant interest in the development of multimodal Large Language Models (LLMs). A primary research objective of such models is to a...	[ 13345, 32034, 37987, 13700, 12709, 33220, 22023, 26380, 2384, 41104, 27282, 9014, 29527, 5720, 3609 ]	Validation
33,982	30	Title: Multi-Stage Coarse-to-Fine Contrastive Learning for Conversation Intent Induction Abstract: Intent recognition is critical for task-oriented dialogue systems. However, for emerging domains and new services, it is difficult to accurately identify the key intent of a conversation due to time-consuming data annotat...	[]	Train
33,983	4	Title: Cryptography and Key Management Schemes for Wireless Sensor Networks Abstract: Wireless sensor networks (WSNs) are made up of a large number of tiny sensors, which can sense, analyze, and communicate information about the outside world. These networks play a significant role in a broad range of fields, from cruc...	[]	Validation
33,984	16	Title: Image as Set of Points Abstract: What is an image and how to extract latent features? Convolutional Networks (ConvNets) consider an image as organized pixels in a rectangular shape and extract features via convolutional operation in local region; Vision Transformers (ViTs) treat an image as a sequence of patches...	[ 5985, 43042, 46186, 36110, 42429 ]	Validation
33,985	31	Title: ExCalibR: Expected Calibration of Recommendations Abstract: In many recommender systems and search problems, presenting a well balanced set of results can be an important goal in addition to serving highly relevant content. For example, in a movie recommendation system, it may be helpful to achieve a certain bal...	[]	Train
33,986	16	Title: Hierarchical Fine-Grained Image Forgery Detection and Localization Abstract: Differences in forgery attributes of images generated in CNN-synthesized and image-editing domains are large, and such differences make a unified image forgery detection and localization (IFDL) challenging. To this end, we present a hie...	[ 25474, 27748, 29200, 1688, 4091 ]	Train
33,987	31	Title: Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval Abstract: Grounded on pre-trained language models (PLMs), dense retrieval has been studied extensively on plain text. In contrast, there has been little research on retrieving data with multiple aspects using dense models. I...	[]	Validation
33,988	10	Title: NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs Abstract: While Knowledge Graph Completion (KGC) on static facts is a matured field, Temporal Knowledge Graph Completion (TKGC), that incorporates validity time into static facts is still in its nascent stage. The KGC...	[]	Train
33,989	24	Title: Hierarchical Reinforcement Learning in Complex 3D Environments Abstract: Hierarchical Reinforcement Learning (HRL) agents have the potential to demonstrate appealing capabilities such as planning and exploration with abstraction, transfer, and skill reuse. Recent successes with HRL across different domains provi...	[]	Validation
33,990	28	Title: Geometrical Properties of Balls in Sum-Rank Metric Abstract: The sum-rank metric arises as an algebraic approach for coding in MIMO block-fading channels and multishot network coding. Codes designed in the sum-rank metric have raised interest in applications such as streaming codes, robust coded distributed stor...	[ 3714 ]	Train
33,991	30	Title: Understanding Lexical Biases when Identifying Gang-related Social Media Communications Abstract: Individuals involved in gang-related activity use mainstream social media including Facebook and Twitter to express taunts and threats as well as grief and memorializing. However, identifying the impact of gang-relat...	[]	Train
33,992	16	Title: Open-world Semi-supervised Novel Class Discovery Abstract: Traditional semi-supervised learning tasks assume that both labeled and unlabeled data follow the same class distribution, but the realistic open-world scenarios are of more complexity with unknown novel classes mixed in the unlabeled set. Therefore, it ...	[]	Train
33,993	24	Title: DTW+S: Shape-based Comparison of Time-series with Ordered Local Trend Abstract: Measuring distance or similarity between time-series data is a fundamental aspect of many applications including classification and clustering. Existing measures may fail to capture similarities due to local trends (shapes) and may e...	[]	Validation
33,994	18	Title: XOR and XNOR gates in instantaneous noise based logic Abstract: In this paper, we propose a new method of applying the XOR and XNOR gates on exponentially large superpositions in Instantaneous Noise-Based Logic. These new gates are repeatable, and they can achieve an exponential speed up in computation with a po...	[ 46179 ]	Train
33,995	16	Title: Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search Abstract: Weakly supervised person search aims to jointly detect and match persons with only bounding box annotations. Existing approaches typically focus on improving the features by exploring relations of persons. However, scal...	[]	Train
33,996	16	Title: GraphReg: Dynamical Point Cloud Registration with Geometry-aware Graph Signal Processing Abstract: This study presents a high-accuracy, efficient, and physically induced method for 3D point cloud registration, which is the core of many important 3D vision problems. In contrast to existing physics-based methods t...	[]	Test
33,997	9	Title: Approximate Evaluation of Quantitative Second Order Queries Abstract: Courcelle's theorem and its adaptations to cliquewidth have shaped the field of exact parameterized algorithms and are widely considered the archetype of algorithmic meta-theorems. In the past decade, there has been growing interest in develop...	[]	Validation
33,998	27	Title: Sim-to-Real Surgical Robot Learning and Autonomous Planning for Internal Tissue Points Manipulation Using Reinforcement Learning Abstract: Indirect simultaneous positioning (ISP), where internal tissue points are placed at desired locations indirectly through the manipulation of boundary points, is a type of sub...	[]	Train
33,999	28	Title: The simplicity bubble effect as a zemblanitous phenomenon in learning systems Abstract: The ubiquity of Big Data and machine learning in society evinces the need of further investigation of their fundamental limitations. In this paper, we extend the ``too-much-information-tends-to-behave-like-very-little-informa...	[]	Train
34,000	16	Title: NAP: Neural 3D Articulation Prior Abstract: We propose Neural 3D Articulation Prior (NAP), the first 3D deep generative model to synthesize 3D articulated object models. Despite the extensive research on generating 3D objects, compositions, or scenes, there remains a lack of focus on capturing the distribution o...	[ 8994, 39256, 16900, 27782, 33113, 20809, 26698, 42666, 21997, 34448, 28244, 18486, 15030, 25816, 18615, 6716, 42686, 44447 ]	Train
34,001	6	Title: Visual Response to Emotional State of User Interaction Abstract: This work proposes an interactive art installation"Mood spRing"designed to reflect the mood of the environment through interpretation of language and tone. Mood spRing consists of an AI program that controls an immersive 3D animation of the seasons...	[]	Validation
34,002	6	Title: Co-creating a globally interpretable model with human input Abstract: We consider an aggregated human-AI collaboration aimed at generating a joint interpretable model. The model takes the form of Boolean decision rules, where human input is provided in the form of logical conditions or as partial templates. This...	[]	Train
34,003	16	Title: Fast vehicle detection algorithm based on lightweight YOLO7-tiny Abstract: The swift and precise detection of vehicles plays a significant role in intelligent transportation systems. Current vehicle detection algorithms encounter challenges of high computational complexity, low detection rate, and limited feasib...	[ 44945 ]	Train
34,004	27	Title: Improved path planning algorithms for non-holonomic autonomous vehicles in industrial environments with narrow corridors: Roadmap Hybrid A* and Waypoints Hybrid B. Roadmap hybrid A and Waypoints hybrid A* Pseudocodes Abstract: This paper proposes two novel path planning algorithms, Roadmap Hybrid A* and Waypoi...	[]	Train
34,005	30	Title: Recognition, recall, and retention of few-shot memories in large language models Abstract: The training of modern large language models (LLMs) takes place in a regime where most training examples are seen only a few times by the model during the course of training. What does a model remember about such examples ...	[]	Train
34,006	4	Title: SigRec: Automatic Recovery of Function Signatures in Smart Contracts Abstract: Millions of smart contracts have been deployed onto Ethereum for providing various services, whose functions can be invoked. For this purpose, the caller needs to know the function signature of a callee, which includes its function id...	[ 21082 ]	Train
34,007	25	Title: AudioInceptionNeXt: TCL AI LAB Submission to EPIC-SOUND Audio-Based-Interaction-Recognition Challenge 2023 Abstract: This report presents the technical details of our submission to the 2023 Epic-Kitchen EPIC-SOUNDS Audio-Based Interaction Recognition Challenge. The task is to learn the mapping from audio samples...	[]	Train
34,008	24	Title: Gradient Descent Converges Linearly for Logistic Regression on Separable Data Abstract: We show that running gradient descent with variable learning rate guarantees loss $f(x) \leq 1.1 \cdot f(x^*) + \epsilon$ for the logistic regression objective, where the error $\epsilon$ decays exponentially with the number ...	[]	Validation
34,009	16	Title: PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models Abstract: Image editing using diffusion models has witnessed extremely fast-paced growth recently. There are various ways in which previous works enable controlling and editing images. Some works use high-level condi...	[ 4738, 13186, 35940, 32261, 7078, 13894, 16103, 36741, 20174, 8051, 6488, 34074, 42078 ]	Test
34,010	8	Title: Optimal Multiple FSO Transceiver Configuration for Using on High-Altitude Platforms Abstract: Free-space optical (FSO) communication requires light of sight (LoS) between the transmitter and the receiver. For long-distance communication, many research projects have been conducted towards using a network composed...	[]	Train
34,011	4	Title: Practically Efficient Secure Computation of Rank-based Statistics Over Distributed Datasets Abstract: In this paper, we propose a practically efficient model for securely computing rank-based statistics, e.g., median, percentiles and quartiles, over distributed datasets in the malicious setting without leaking i...	[]	Validation
34,012	5	Title: Sherlock in OSS: A Novel Approach of Content-Based Searching in Object Storage System Abstract: Object Storage Systems (OSS) inside a cloud promise scalability, durability, availability, and concurrency. However, open-source OSS does not have a specific approach to letting users and administrators search based o...	[]	Train
34,013	16	Title: MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging Abstract: Recent applications of deep convolutional neural networks in medical imaging raise concerns about their interpretability. While most explainable deep learning applications use ...	[]	Train
34,014	15	Title: Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA Abstract: Synthetic aperture radar (SAR) automatic target recognition (ATR) is the key technique for remote-sensing image recognition. The state-of-the-art convolutional neural networks (CNNs) for SAR ATR suffer from high computation cost ...	[ 19354, 20164 ]	Test
34,015	24	Title: Long-term Wind Power Forecasting with Hierarchical Spatial-Temporal Transformer Abstract: Wind power is attracting increasing attention around the world due to its renewable, pollution-free, and other advantages. However, safely and stably integrating the high permeability intermittent power energy into electric...	[ 6032, 11561, 9774 ]	Train
34,016	23	Title: Mining for Cost Awareness in the Infrastructure as Code Artifacts of Cloud-based Applications: an Exploratory Study Abstract: Context: The popularity of cloud computing as the primary platform for developing, deploying, and delivering software is largely driven by the promise of cost savings. Therefore, it is su...	[]	Train
34,017	16	Title: UniSim: A Neural Closed-Loop Sensor Simulator Abstract: Rigorously testing autonomy systems is essential for making safe self-driving vehicles (SDV) a reality. It requires one to generate safety critical scenarios beyond what can be collected safely in the world, as many scenarios happen rarely on our roads. To ...	[ 23392, 8610, 41155, 16390, 37832, 14062, 5584, 21170, 44574, 4511 ]	Train
34,018	16	Title: EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity Abstract: Self-supervised monocular scene flow estimation, aiming to understand both 3D structures and 3D motions from two temporally consecutive monocular images, has received increasing attention for its simple and economica...	[]	Validation
34,019	6	Title: LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity Abstract: Cross‐task generalization is a significant outcome that defines mastery in natural language understanding. Humans show a remarkable aptitude for this, and can solve many different types of tasks, given definitions in the...	[]	Train
34,020	16	Title: Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation Abstract: Recent popular Role-Playing Games (RPGs) saw the great success of character auto-creation systems. The bone-drivenface model controlled by continuous parameters (like the position of bones) and discrete parameters (like the hairst...	[ 38395, 6739, 25983 ]	Train
34,021	8	Title: Device management and network connectivity as missing elements in TinyML landscape Abstract: Deployment of solutions based on TinyML requires meeting several challenges. These include hardware heterogeneity, microprocessor (MCU) architectures, and resource availability constraints. Another challenge is the varie...	[]	Validation
34,022	36	Title: Can We Find Nash Equilibria at a Linear Rate in Markov Games? Abstract: We study decentralized learning in two-player zero-sum discounted Markov games where the goal is to design a policy optimization algorithm for either agent satisfying two properties. First, the player does not need to know the policy of the ...	[ 15606 ]	Train
34,023	15	Title: GSA to HDL: Towards principled generation of dynamically scheduled circuits Abstract: High-level synthesis (HLS) refers to the automatic translation of a software program written in a high-level language into a hardware design. Modern HLS tools have moved away from the traditional approach of static (compile tim...	[]	Validation
34,024	24	Title: Minimal Random Code Learning with Mean-KL Parameterization Abstract: This paper studies the qualitative behavior and robustness of two variants of Minimal Random Code Learning (MIRACLE) used to compress variational Bayesian neural networks. MIRACLE implements a powerful, conditionally Gaussian variational approx...	[ 24064 ]	Validation
34,025	31	Title: Construction d'un système de recommandation basé sur des contraintes via des graphes de connaissances Abstract: Knowledge graphs in RDF model entities and their relations using ontologies, and have gained popularity for information modeling. In recommender systems, knowledge graphs help represent more links and ...	[]	Train
34,026	30	Title: A Comparative Analysis of Pretrained Language Models for Text-to-Speech Abstract: State-of-the-art text-to-speech (TTS) systems have utilized pretrained language models (PLMs) to enhance prosody and create more natural-sounding speech. However, while PLMs have been extensively researched for natural language und...	[]	Test
34,027	16	Title: ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images Abstract: Structured text extraction is one of the most valuable and challenging application directions in the field of Document AI. However, the scenarios of past benchmarks are limited, and the corresponding evaluation prot...	[ 14154 ]	Train
34,028	30	Title: Using Meaning Instead of Words to Track Topics Abstract: nan	[]	Validation
34,029	3	Title: Improved Web Accessibility Evaluation of Open Learning Contents for Individuals with Learning Disabilities Abstract: Web content should be accessible to normal and disabled communities on electronic devices. The Web Accessibility Initiative (WAI) has created standard guidelines called Web Content Accessibility G...	[]	Train
34,030	4	Title: Toward Lossless Homomorphic Encryption for Scientific Computation Abstract: This paper presents a comprehensive investigation into encrypted computations using the CKKS (Cheon-Kim-Kim-Song) scheme, with a focus on multi-dimensional vector operations and real-world applications. Through two meticulously designed ...	[]	Test
34,031	16	Title: Multi-modal multi-class Parkinson disease classification using CNN and decision level fusion Abstract: Parkinson disease is the second most common neurodegenerative disorder, as reported by the World Health Organization. In this paper, we propose a direct three-Class PD classification using two different modalit...	[]	Train
34,032	24	Title: Risk-Sensitive and Robust Model-Based Reinforcement Learning and Planning Abstract: Many sequential decision-making problems that are currently automated, such as those in manufacturing or recommender systems, operate in an environment where there is either little uncertainty, or zero risk of catastrophe. As com...	[]	Test
34,033	16	Title: CoNAN: Conditional Neural Aggregation Network For Unconstrained Face Feature Fusion Abstract: Face recognition from image sets acquired under unregulated and uncontrolled settings, such as at large distances, low resolutions, varying viewpoints, illumination, pose, and atmospheric conditions, is challenging. Fac...	[ 17793 ]	Train
34,034	3	Title: Dynamic Grouping for Climate Change Negotiation: Facilitating Cooperation and Balancing Interests through Effective Strategies Abstract: The current framework for climate change negotiation models presents several limitations that warrant further research and development. In this track, we discuss mainly two key...	[]	Test
34,035	16	Title: Model Compression Methods for YOLOv5: A Review Abstract: Over the past few years, extensive research has been devoted to enhancing YOLO object detectors. Since its introduction, eight major versions of YOLO have been introduced with the purpose of improving its accuracy and efficiency. While the evident merits o...	[ 23074 ]	Train
34,036	16	Title: Classifier Robustness Enhancement Via Test-Time Transformation Abstract: It has been recently discovered that adversarially trained classifiers exhibit an intriguing property, referred to as perceptually aligned gradients (PAG). PAG implies that the gradients of such classifiers possess a meaningful structure, a...	[ 41416, 37595 ]	Train
34,037	16	Title: How Generalizable are Deepfake Detectors? An Empirical Study Abstract: Deepfake videos and images are becoming increasingly credible, posing a significant threat given their potential to facilitate fraud or bypass access control systems. This has motivated the development of deepfake detection methods, in which ...	[]	Train
34,038	21	Title: The Evolution of Real-Time Remote Intraoperative Neurophysiological Monitoring Abstract: Real-time consultation and monitoring of the patient’s nervous system function is provided in more than 410,000 high-risk surgeries per year in the United States. More than 80% of those cases are staffed by remote clinical n...	[]	Train
34,039	10	Title: Reusable Slotwise Mechanisms Abstract: Agents that can understand and reason over the dynamics of objects can have a better capability to act robustly and generalize to novel scenarios. Such an ability, however, requires a suitable representation of the scene as well as an understanding of the mechanisms that go...	[]	Train
34,040	31	Title: Cross-domain recommendation via user interest alignment Abstract: Cross-domain recommendation aims to leverage knowledge from multiple domains to alleviate the data sparsity and cold-start problems in traditional recommender systems. One popular paradigm is to employ overlapping user representations to establish...	[ 17090 ]	Train
34,041	24	Title: Learning Representations of Bi-Level Knowledge Graphs for Reasoning beyond Link Prediction Abstract: Knowledge graphs represent known facts using triplets. While existing knowledge graph embedding methods only consider the connections between entities, we propose considering the relationships between triplets. F...	[ 34362 ]	Train
34,042	2	Title: Speculative SAT Modulo SAT Abstract: State-of-the-art model-checking algorithms like IC3/PDR are based on uni-directional modular SAT solving for finding and/or blocking counterexamples. Modular SAT solvers divide a SAT-query into multiple sub-queries, each solved by a separate SAT solver (called a module), and ...	[]	Validation
34,043	6	Title: AI as mediator between composers, sound designers, and creative media producers Abstract: Musical professionals who produce material for non-musical stakeholders often face communication challenges in the early ideation stage. Expressing musical ideas can be difficult, especially when domain-specific vocabulary ...	[ 11054 ]	Train
34,044	30	Title: Long Text and Multi-Table Summarization: Dataset and Method Abstract: Automatic document summarization aims to produce a concise summary covering the input document's salient information. Within a report document, the salient information can be scattered in the textual and non-textual content. However, existing ...	[]	Train
34,045	31	Title: XWalk: Random Walk Based Candidate Retrieval for Product Search Abstract: In e-commerce, head queries account for the vast majority of gross merchandise sales and improvements to head queries are highly impactful to the business. While most supervised approaches to search perform better in head queries vs. tail ...	[]	Validation
34,046	24	Title: Congested Bandits: Optimal Routing via Short-term Resets Abstract: For trafﬁc routing platforms, the choice of which route to recommend to a user depends on the congestion on these routes – indeed, an individual’s utility depends on the number of people using the recommended route at that instance. Motivated by ...	[ 19275 ]	Validation
34,047	16	Title: AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation Abstract: Segmentation is a fundamental problem in surgical scene analysis using artificial intelligence. However, the inherent data scarcity in this domain makes it challenging to adapt traditional segmentation techniques for this task...	[ 45546, 26292, 35500 ]	Train
34,048	26	Title: Latent space approaches to aggregate network data Abstract: Large-scale network data can pose computational challenges, be expensive to acquire, and compromise the privacy of individuals in social networks. We show that the locations and scales of latent space cluster models can be inferred from the number of co...	[]	Train
34,049	16	Title: CASIA-Iris-Africa: A Large-scale African Iris Image Database Abstract: Iris biometrics is a phenotypic biometric trait that has proven to be agnostic to human natural physiological changes. Research on iris biometrics has progressed tremendously, partly due to publicly available iris databases. Various databases...	[]	Train
34,050	24	Title: Urban Spatiotemporal Data Synthesis via Neural Disaggregation Abstract: The level of granularity of open data often conflicts the benefits it can provide. Less granular data can protect individual privacy, but to certain degrees, sabotage the promise of open data to promote transparency and assist research. Simi...	[ 5982 ]	Validation
34,051	10	Title: Reliable AI: Does the Next Generation Require Quantum Computing? Abstract: In this survey, we aim to explore the fundamental question of whether the next generation of artificial intelligence requires quantum computing. Artificial intelligence is increasingly playing a crucial role in many aspects of our daily l...	[]	Train
34,052	16	Title: SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation Abstract: Medical image analysis using deep learning is often challenged by limited labeled data and high annotation costs. Fine-tuning the entire network in label-limited scenarios can lead to overfitting and suboptimal performanc...	[ 6792, 38342 ]	Train
34,053	24	Title: PDExplain: Contextual Modeling of PDEs in the Wild Abstract: We propose an explainable method for solving Partial Differential Equations by using a contextual scheme called PDExplain. During the training phase, our method is fed with data collected from an operator-defined family of PDEs accompanied by the gener...	[]	Validation
34,054	4	Title: Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance Abstract: Modern privacy regulations provide a strict mandate for data processing entities to implement appropriate technical measures to demonstrate compliance. In practice, determining what measures are ind...	[]	Validation
34,055	5	Title: Accelerating Statewide Connected Vehicles Big (Sensor Fusion) Data ETL Pipelines on GPUs Abstract: Real-time traffic and sensor data from connected vehicles have the potential to provide insights that will lead to the immediate benefit of efficient management of the transportation infrastructure and related adja...	[]	Validation
34,056	23	Title: Mining Reddit Data to Elicit Students' Requirements During COVID-19 Pandemic Abstract: Data-driven requirements engineering leverages the abundance of openly accessible and crowdsourced information on the web. By incorporating user feedback provided about a software product, such as reviews in mobile app stores,...	[]	Test
34,057	27	Title: Computationally-efficient Motion Cueing Algorithm via Model Predictive Control Abstract: Driving simulators have been used in the automotive industry for many years because of their ability to perform tests in a safe, reproducible and controlled immersive virtual environment. The improved performance of the simu...	[ 20041 ]	Train
34,058	16	Title: An Exploratory Study of Masked Face Recognition with Machine Learning Algorithms Abstract: Automated face recognition is a widely adopted machine learning technology for contactless identification of people in various processes such as automated border control, secure login to electronic devices, community surve...	[]	Validation
34,059	17	Title: Towards smoother surfaces by applying subdivision to voxel data Abstract: In computed tomography, the approximation quality of a scan of a physical object is typically limited by the acquisition modalities, especially the hardware including X-ray detectors. To improve upon this, we experiment with a three-dimens...	[]	Train
34,060	24	Title: Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation Abstract: Delivery Time Estimation (DTE) is a crucial component of the e-commerce supply chain that predicts delivery time based on merchant information, sending address, receiving address, and payment time. Accurate DTE can boost platform re...	[]	Validation
34,061	24	Title: Robust Subtask Learning for Compositional Generalization Abstract: Compositional reinforcement learning is a promising approach for training policies to perform complex long-horizon tasks. Typically, a high-level task is decomposed into a sequence of subtasks and a separate policy is trained to perform each subt...	[]	Test
34,062	24	Title: Knowledge-integrated AutoEncoder Model Abstract: Data encoding is a common and central operation in most data analysis tasks. The performance of other models, downstream in the computational process, highly depends on the quality of data encoding. One of the most powerful ways to encode data is using the neural ...	[ 14395 ]	Train
34,063	24	Title: Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment Abstract: Temporal graph learning aims to generate high-quality representations for graph-based tasks along with dynamic information, which has recently drawn increasing attention. Unlike the static graph, a temporal graph i...	[ 931, 26373, 187, 26064, 9491, 11355, 15836, 24286 ]	Validation
34,064	30	Title: UKP-SQuARE: An Interactive Tool for Teaching Question Answering Abstract: The exponential growth of question answering (QA) has made it an indispensable topic in any Natural Language Processing (NLP) course. Additionally, the breadth of QA derived from this exponential growth makes it an ideal scenario for teach...	[]	Test
34,065	24	Title: SoK: Assessing the State of Applied Federated Machine Learning Abstract: Machine Learning (ML) has shown significant potential in various applications; however, its adoption in privacy-critical domains has been limited due to concerns about data privacy. A promising solution to this issue is Federated Machine Le...	[]	Validation
34,066	4	Title: Listen to Minority: Encrypted Traffic Classification for Class Imbalance with Contrastive Pre-Training Abstract: Mobile Internet has profoundly reshaped modern lifestyles in various aspects. Encrypted Traffic Classification (ETC) naturally plays a crucial role in managing mobile Internet, especially with the exp...	[]	Train
34,067	4	Title: Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering Abstract: Most existing methods to detect backdoored machine learning (ML) models take one of the two approaches: trigger inversion (aka. reverse engineer) and weight analysis (aka. model diagnosis). In particular, the gradient-based trigger...	[]	Validation
34,068	16	Title: Analyzing Bias in Diffusion-based Face Generation Models Abstract: Diffusion models are becoming increasingly popular in synthetic data generation and image editing applications. However, these models can amplify existing biases and propagate them to downstream applications. Therefore, it is crucial to understan...	[ 19521, 31109, 45104, 22834, 8308, 44442, 16284 ]	Test
34,069	24	Title: RoLNiP: Robust Learning Using Noisy Pairwise Comparisons Abstract: This paper presents a robust approach for learning from noisy pairwise comparisons. We propose sufficient conditions on the loss function under which the risk minimization framework becomes robust to noise in the pairwise similar dissimilar data....	[]	Train
34,070	5	Title: A Decade of Research in Fog computing: Relevance, Challenges, and Future Directions Abstract: Recent developments in the Internet of Things (IoT) and real-time applications, have led to the unprecedented growth in the connected devices and their generated data. Traditionally, this sensor data is transferred and ...	[]	Train
34,071	24	Title: Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption Abstract: We study the infinite-horizon restless bandit problem with the average reward criterion, under both discrete-time and continuous-time settings. A fundamental question is how to design computationally efficient polici...	[]	Train
34,072	30	Title: Gender-Inclusive Grammatical Error Correction through Augmentation Abstract: In this paper we show that GEC systems display gender bias related to the use of masculine and feminine terms and the gender-neutral singular “they”. We develop parallel datasets of texts with masculine and feminine terms, and singular ...	[]	Train
34,073	24	Title: Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning Abstract: Adversarial imitation learning has become a widely used imitation learning framework. The discriminator is often trained by taking expert demonstrations and policy trajectories as examples respectively from two categories (positive vs...	[]	Test
34,074	16	Title: Adding Conditional Control to Text-to-Image Diffusion Models Abstract: We present ControlNet, a neural network architecture to add spatial conditioning controls to large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large diffusion models, and reuses their deep and robust enco...	[ 46080, 20484, 32261, 41989, 22023, 41988, 39434, 23051, 14350, 45070, 44561, 17938, 40979, 44052, 3097, 3609, 7709, 25117, 41502, 21024, 18980, 25640, 23593, 7723, 11820, 3631, 560, 44593, 5682, 33845, 33848, 34873, 33338, 9276, 18492, 23102, 2...	Test
34,075	27	Title: Facilitating Cooperative and Distributed Multi-Vehicle Lane Change Maneuvers Abstract: A distributed coordination method for solving multi-vehicle lane changes for connected autonomous vehicles (CAVs) is presented. Existing approaches to multi-vehicle lane changes are passive and opportunistic as they are implem...	[]	Test
34,076	4	Title: Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review Abstract: Deep Neural Networks (DNNs) have led to unprecedented progress in various natural language processing (NLP) tasks. Owing to limited data and computation resources, using third-party data and mode...	[ 9248, 44195, 13700, 33220, 35076, 43176, 11178, 26009, 21806, 7345, 15601, 22515, 27187, 3797, 40597, 42390, 8473, 45338 ]	Train
34,077	16	Title: Component-aware anomaly detection framework for adjustable and logical industrial visual inspection Abstract: Industrial visual inspection aims at detecting surface defects in products during the manufacturing process. Although existing anomaly detection models have shown great performance on many public benchma...	[ 39761, 39954, 17581 ]	Train

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