node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
36,078 | 16 | Title: L-CAD: Language-based Colorization with Any-level Descriptions
Abstract: Language-based colorization produces plausible and visually pleasing colors under the guidance of user-friendly natural language descriptions. Previous methods implicitly assume that users provide comprehensive color descriptions for most o... | [
34074,
16103
] | Validation |
36,079 | 2 | Title: On the Trade-off Between Efficiency and Precision of Neural Abstraction
Abstract: Neural abstractions have been recently introduced as formal approximations of complex, nonlinear dynamical models. They comprise a neural ODE and a certified upper bound on the error between the abstract neural network and the conc... | [
20523
] | Train |
36,080 | 4 | Title: Auditing Frameworks Need Resource Isolation: A Systematic Study on the Super Producer Threat to System Auditing and Its Mitigation
Abstract: System auditing is a crucial technique for detecting APT attacks. However, attackers may try to compromise the system auditing frameworks to conceal their malicious activit... | [] | Test |
36,081 | 24 | Title: HYTREL: Hypergraph-enhanced Tabular Data Representation Learning
Abstract: Language models pretrained on large collections of tabular data have demonstrated their effectiveness in several downstream tasks. However, many of these models do not take into account the row/column permutation invariances, hierarchical... | [
38093
] | Validation |
36,082 | 8 | Title: Toward Standardized Performance Evaluation of Flow-guided Nanoscale Localization
Abstract: Nanoscale devices featuring Terahertz (THz)-based wireless communication capabilities are envisioned to be deployed within human bloodstreams. Such devices are envisaged to enable fine-grained sensing-based applications fo... | [
40448,
27492
] | Validation |
36,083 | 16 | Title: Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion
Abstract: We present Farm3D, a method to learn category-specific 3D reconstructors for articulated objects entirely from"free"virtual supervision from a pre-trained 2D diffusion-based image generator. Recent approaches can learn, given a collecti... | [
40256,
4481,
30566,
9304,
7994
] | Train |
36,084 | 24 | Title: Aligning Text-to-Image Models using Human Feedback
Abstract: Deep generative models have shown impressive results in text-to-image synthesis. However, current text-to-image models often generate images that are inadequately aligned with text prompts. We propose a fine-tuning method for aligning such models using... | [
6145,
5387,
14219,
44052,
27542,
24986,
37152,
28580,
9384,
31913,
7850,
20906,
18220,
26673,
22201,
1594,
43771,
15809,
10562,
2502,
13257,
3538,
1369,
42969,
14047,
42725,
20968,
32108,
45933,
36844,
17647,
32625,
17400,
44537,
5499
] | Train |
36,085 | 24 | Title: Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
Abstract: Most Graph Neural Networks follow the message-passing paradigm, assuming the observed structure depicts the ground-truth node relationships. However, this fundamental assumption cannot always be satisfied, as re... | [
23882,
31343
] | Validation |
36,086 | 16 | Title: Neural FIM for learning Fisher Information Metrics from point cloud data
Abstract: Although data diffusion embeddings are ubiquitous in unsupervised learning and have proven to be a viable technique for uncovering the underlying intrinsic geometry of data, diffusion embeddings are inherently limited due to their... | [] | Train |
36,087 | 30 | Title: Learning In-context Learning for Named Entity Recognition
Abstract: Named entity recognition in real-world applications suffers from the diversity of entity types, the emergence of new entity types, and the lack of high-quality annotations. To address the above problems, this paper proposes an in-context learnin... | [
16527
] | Train |
36,088 | 24 | Title: Nature's Cost Function: Simulating Physics by Minimizing the Action
Abstract: In physics, there is a scalar function called the action which behaves like a cost function. When minimized, it yields the"path of least action"which represents the path a physical system will take through space and time. This function... | [] | Train |
36,089 | 16 | Title: CAT-NeRF: Constancy-Aware Tx2Former for Dynamic Body Modeling
Abstract: This paper addresses the problem of human rendering in the video with temporal appearance constancy. Reconstructing dynamic body shapes with volumetric neural rendering methods, such as NeRF, requires finding the correspondence of the points... | [] | Train |
36,090 | 7 | Title: Generalizable and explainable prediction of potential miRNA-disease associations based on heterogeneous graph learning
Abstract: Biomedical research has revealed the crucial role of miRNAs in the progression of many diseases, and computational prediction methods are increasingly proposed for assisting biological... | [] | Validation |
36,091 | 30 | Title: UQ at #SMM4H 2023: ALEX for Public Health Analysis with Social Media
Abstract: As social media becomes increasingly popular, more and more activities related to public health emerge. Current techniques for public health analysis involve popular models such as BERT and large language models (LLMs). However, the c... | [
39174
] | Train |
36,092 | 4 | Title: Hide and Seek with Spectres: Efficient discovery of speculative information leaks with random testing
Abstract: Attacks like Spectre abuse speculative execution, one of the key performance optimizations of modern CPUs. Recently, several testing tools have emerged to automatically detect speculative leaks in comm... | [
18584,
36632
] | Test |
36,093 | 26 | Title: The use of new technologies to support Public Administration. Sentiment analysis and the case of the app IO
Abstract: App IO is an app developed for the Italian PA. It is definitely useful for citizens to interact with the PA and to get services that were not digitized yet. Nevertheless, it was not perceived in a... | [] | Train |
36,094 | 23 | Title: Demonstration of a Response Time Based Remaining Useful Life (RUL) Prediction for Software Systems
Abstract: Prognostic and Health Management (PHM) has been widely applied to hardware systems in the electronics and non-electronics domains but has not been explored for software. While software does not decay over... | [] | Train |
36,095 | 17 | Title: Pixel-wise Guidance for Utilizing Auxiliary Features in Monte Carlo Denoising
Abstract: Auxiliary features such as geometric buffers (G-buffers) and path descriptors (P-buffers) have been shown to significantly improve Monte Carlo (MC) denoising. However, recent approaches implicitly learn to exploit auxiliary f... | [] | Test |
36,096 | 24 | Title: Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
Abstract: Although deep learning (DL) has led to several breakthroughs in many disciplines as diverse as chemistry, computer science, electrical engineering, mathematics, medicine, neuroscience, and physics, a comprehensive unde... | [] | Validation |
36,097 | 30 | Title: Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4
Abstract: The advent and fast development of neural networks have revolutionized the research on dialogue systems and subsequently have triggered various challenges regarding their automatic evalu... | [
44488,
19778,
34659,
35644
] | Train |
36,098 | 34 | Title: The APX-hardness of the Traveling Tournament Problem
Abstract: The Traveling Tournament Problem (TTP-$k$) is a well-known benchmark problem in sports scheduling, which asks us to design a double round-robin schedule such that each pair of teams plays one game in each other's home venue, each team plays at most $... | [] | Validation |
36,099 | 23 | Title: Battle of the Blocs: Quantity and Quality of Software Engineering Research by Origin
Abstract: Software engineering capabilities are increasingly important to the success of economic and political blocs. This paper analyzes quantity and quality of software engineering research output originating from the US, Eur... | [] | Train |
36,100 | 27 | Title: Bayesian Generalized Kernel Inference for Exploration of Autonomous Robots
Abstract: —This paper concerns realizing highly efficient information-theoretic robot exploration with desired performance in complex scenes. We build a continuous lightweight inference model to predict the mutual information (MI) and the ... | [] | Train |
36,101 | 16 | Title: Multi-object Video Generation from Single Frame Layouts
Abstract: In this paper, we study video synthesis with emphasis on simplifying the generation conditions. Most existing video synthesis models or datasets are designed to address complex motions of a single object, lacking the ability of comprehensively und... | [] | Test |
36,102 | 16 | Title: A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection
Abstract: The proliferation of Deep Neural Networks has resulted in machine learning systems becoming increasingly more present in various real-world applications. Consequently, there is a growing demand for highly r... | [
32857
] | Train |
36,103 | 16 | Title: Sea Ice Extraction via Remote Sensed Imagery: Algorithms, Datasets, Applications and Challenges
Abstract: The deep learning, which is a dominating technique in artificial intelligence, has completely changed the image understanding over the past decade. As a consequence, the sea ice extraction (SIE) problem has ... | [
3155,
35263
] | Train |
36,104 | 25 | Title: StyleS2ST: Zero-shot Style Transfer for Direct Speech-to-speech Translation
Abstract: Direct speech-to-speech translation (S2ST) has gradually become popular as it has many advantages compared with cascade S2ST. However, current research mainly focuses on the accuracy of semantic translation and ignores the spee... | [
28236
] | Train |
36,105 | 16 | Title: MODIFY: Model-driven Face Stylization without Style Images
Abstract: Existing face stylization methods always acquire the presence of the target (style) domain during the translation process, which violates privacy regulations and limits their applicability in real-world systems. To address this issue, we propos... | [
43608
] | Validation |
36,106 | 24 | Title: Latent Masking for Multimodal Self-supervised Learning in Health Timeseries
Abstract: Limited availability of labeled data for machine learning on biomedical time-series hampers progress in the field. Self-supervised learning (SSL) is a promising approach to learning data representations without labels. However,... | [] | Train |
36,107 | 24 | Title: Transformers learn through gradual rank increase
Abstract: We identify incremental learning dynamics in transformers, where the difference between trained and initial weights progressively increases in rank. We rigorously prove this occurs under the simplifying assumptions of diagonal weight matrices and small i... | [
30467,
45053
] | Test |
36,108 | 4 | Title: Smoothening block rewards: How much should miners pay for mining pools?
Abstract: The rewards a blockchain miner earns vary with time. Most of the time is spent mining without receiving any rewards, and only occasionally the miner wins a block and earns a reward. Mining pools smoothen the stochastic flow of rewa... | [] | Train |
36,109 | 31 | Title: OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction
Abstract: A large-scale industrial recommendation platform typically consists of multiple associated scenarios, requiring a unified click-through rate (CTR) prediction model to serve them simultaneously. Existing approaches for multi-sc... | [] | Train |
36,110 | 16 | Title: Efficient-VRNet: An Exquisite Fusion Network for Riverway Panoptic Perception based on Asymmetric Fair Fusion of Vision and 4D mmWave Radar
Abstract: Panoptic perception is essential to unmanned surface vehicles (USVs) for autonomous navigation. The current panoptic perception scheme is mainly based on vision on... | [
33984
] | Train |
36,111 | 23 | Title: Resiliency Analysis of LLM generated models for Industrial Automation
Abstract: This paper proposes a study of the resilience and efficiency of automatically generated industrial automation and control systems using Large Language Models (LLMs). The approach involves modeling the system using percolation theory ... | [
38449,
38811,
39147
] | Train |
36,112 | 5 | Title: Topological Characterization of Consensus Solvability in Directed Dynamic Networks
Abstract: Consensus is one of the most fundamental problems in distributed computing. This paper studies the consensus problem in a synchronous dynamic directed network, in which communication is controlled by an oblivious message... | [] | Validation |
36,113 | 24 | Title: Network Traffic Classification based on Single Flow Time Series Analysis
Abstract: Network traffic monitoring using IP flows is used to handle the current challenge of analyzing encrypted network communication. Nevertheless, the packet aggregation into flow records naturally causes information loss; therefore, t... | [] | Train |
36,114 | 16 | Title: LipFormer: Learning to Lipread Unseen Speakers Based on Visual-Landmark Transformers
Abstract: Lipreading refers to understanding and further translating the speech of a video speaker into textual outputs. State-of-the-art lipreading methods excel in interpreting overlap speakers, i.e., speakers appear in both t... | [
15311
] | Test |
36,115 | 24 | Title: Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification
Abstract: The Dissemination Process Classification (DPC) is a popular application of temporal graph classification. The aim of DPC is to classify different spreading patterns of information or pestilence within a c... | [
15054
] | Test |
36,116 | 16 | Title: Feature attention network (FA-Net): a deep-learning based approach for underwater single image enhancement
Abstract: Underwater image processing and analysis have been a hotspot of study in recent years, as more emphasis has been focused to underwater monitoring and usage of marine resources. Compared with the o... | [] | Test |
36,117 | 16 | Title: Addressing Uncertainty in Imbalanced Histopathology Image Classification of HER2 Breast Cancer: An interpretable Ensemble Approach with Threshold Filtered Single Instance Evaluation (SIE)
Abstract: Breast Cancer (BC) is among women's most lethal health concerns. Early diagnosis can alleviate the mortality rate b... | [] | Test |
36,118 | 24 | Title: AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme
Abstract: Mechanical defects in real situations affect observation values and cause abnormalities in multivariate time series, such as sensor values or network data. To perceive abnormalities in such data, it... | [
2993
] | Train |
36,119 | 24 | Title: Efficient selective attention LSTM for well log curve synthesis
Abstract: Non-core drilling has gradually become the primary exploration method in geological engineering, and well logging curves have increasingly gained importance as the main carriers of geological information. However, factors such as geologica... | [] | Validation |
36,120 | 28 | Title: Correcting One Error in Non-Binary Channels with Feedback
Abstract: In this paper, the problem of correction of a single error in q-ary symmetric channel with noiseless feedback is considered. We propose an algorithm to construct codes with feedback inductively. For all prime power q we prove that two instances ... | [] | Train |
36,121 | 23 | Title: Multi-Objective Improvement of Android Applications
Abstract: Non-functional properties, such as runtime or memory use, are important to mobile app users and developers, as they affect user experience. Previous work on automated improvement of non-functional properties in mobile apps failed to address the inhere... | [
18306
] | Validation |
36,122 | 30 | Title: Neural Dynamic Focused Topic Model
Abstract: Topic models and all their variants analyse text by learning meaningful representations through word co-occurrences. As pointed out by previous work, such models implicitly assume that the probability of a topic to be active and its proportion within each document are... | [] | Train |
36,123 | 3 | Title: Cyberbullying in Text Content Detection: An Analytical Review
Abstract: Technological advancements have resulted in an exponential increase in the use of online social networks (OSNs) worldwide. While online social networks provide a great communication medium, they also increase the user's exposure to life-thre... | [] | Train |
36,124 | 6 | Title: Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses
Abstract: Large generative AI models (GMs) like GPT and DALL-E are trained to generate content for general, wide-ranging purposes. GM content filters are generalized to filter out content which has a risk of harm in many cases, e.g., hate... | [] | Test |
36,125 | 31 | Title: Causal Disentangled Recommendation Against User Preference Shifts
Abstract: Recommender systems easily face the issue of user preference shifts. User representations will become out-of-date and lead to inappropriate recommendations if user preference has shifted over time. To solve the issue, existing work focus... | [
21633
] | Train |
36,126 | 28 | Title: Age of Information in Reservation Multi-Access Networks With Stochastic Arrivals: Analysis and Optimization
Abstract: This paper analyzes and optimizes the average Age of Information (AAoI) of Frame Slotted ALOHA with Reservation and Data slots (FSA-RD) in a multi-access network, where multiple users transmit th... | [] | Validation |
36,127 | 30 | Title: TranSFormer: Slow-Fast Transformer for Machine Translation
Abstract: Learning multiscale Transformer models has been evidenced as a viable approach to augmenting machine translation systems. Prior research has primarily focused on treating subwords as basic units in developing such systems. However, the incorpor... | [
13483
] | Train |
36,128 | 16 | Title: Food-500 Cap: A Fine-Grained Food Caption Benchmark for Evaluating Vision-Language Models
Abstract: Vision-language models (VLMs) have shown impressive performance in substantial downstream multi-modal tasks. However, only comparing the fine-tuned performance on downstream tasks leads to the poor interpretabilit... | [
33019
] | Test |
36,129 | 16 | Title: Opti-CAM: Optimizing saliency maps for interpretability
Abstract: Methods based on class activation maps (CAM) provide a simple mechanism to interpret predictions of convolutional neural networks by using linear combinations of feature maps as saliency maps. By contrast, masking-based methods optimize a saliency... | [
39442
] | Validation |
36,130 | 23 | Title: Parfum: Detection and Automatic Repair of Dockerfile Smells
Abstract: Docker is a popular tool for developers and organizations to package, deploy, and run applications in a lightweight, portable container. One key component of Docker is the Dockerfile, a simple text file that specifies the steps needed to build... | [] | Test |
36,131 | 16 | Title: Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Generation
Abstract: Multi-view image generation attracts particular attention these days due to its promising 3D-related applications, e.g., image viewpoint editing. Most existing methods follow a paradigm where a 3D representatio... | [] | Test |
36,132 | 27 | Title: Guaranteed Encapsulation of Targets with Unknown Motion by a Minimalist Robotic Swarm
Abstract: We present a decentralized control algorithm for a robotic swarm given the task of encapsulating static and moving targets in a bounded unknown environment. We consider minimalist robots without memory, explicit commu... | [] | Train |
36,133 | 25 | Title: Enhanced Neural Beamformer with Spatial Information for Target Speech Extraction
Abstract: Recently, deep learning-based beamforming algorithms have shown promising performance in target speech extraction tasks. However, most systems do not fully utilize spatial information. In this paper, we propose a target sp... | [] | Test |
36,134 | 30 | Title: Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation
Abstract: End-to-end generation-based approaches have been investigated and applied in task-oriented dialogue systems. However, in industrial scenarios, existing methods face the bottlenecks of reliability (e.g., domain-inconsi... | [] | Test |
36,135 | 16 | Title: iWarpGAN: Disentangling Identity and Style to Generate Synthetic Iris Images
Abstract: Generative Adversarial Networks (GANs) have shown success in approximating complex distributions for synthetic image generation. However, current GAN-based methods for generating biometric images, such as iris, have certain li... | [] | Train |
36,136 | 16 | Title: DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation
Abstract: Cell instance segmentation in cytology images has significant importance for biology analysis and cancer screening, while remains challenging due to 1) the extensive over-lapping translucent cell clusters that cause the ambigu-ous bo... | [
22495
] | Train |
36,137 | 20 | Title: Using persistent homology to understand dimensionality reduction in resting-state fMRI
Abstract: Evaluating the success of a manifold learning method remains a challenging problem, especially for methods adapted to a specific application domain. The present work investigates shared geometric structure across dif... | [] | Train |
36,138 | 6 | Title: The virtual drum circle: polyrhythmic music interactions in extended reality
Abstract: Emerging technologies in the domain of extended reality offer rich, new possibilities for the study and practice of joint music performance. Apart from the technological challenges, bringing music players together in extended ... | [] | Test |
36,139 | 28 | Title: Theoretical Analysis of Binary Masks in Snapshot Compressive Imaging Systems
Abstract: Snapshot compressive imaging (SCI) systems have gained significant attention in recent years. While previous theoretical studies have primarily focused on the performance analysis of Gaussian masks, practical SCI systems often... | [] | Train |
36,140 | 16 | Title: Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks
Abstract: Despite the rapid advancement of unsupervised learning in visual representation, it requires training on large-scale datasets that demand costly data collection, and pose additional challenges due to conce... | [
4220,
645,
30638
] | Train |
36,141 | 16 | Title: SHINE: Deep Learning-Based Accessible Parking Management System
Abstract: The ongoing expansion of urban areas facilitated by advancements in science and technology has resulted in a considerable increase in the number of privately owned vehicles worldwide, including in South Korea. However, this gradual increme... | [] | Train |
36,142 | 31 | Title: Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
Abstract: Recommender models excel at providing domain-specific item recommendations by leveraging extensive user behavior data. Despite their ability to act as lightweight domain experts, they struggle to perform versatile t... | [
24706,
9379,
13700,
33477,
12251,
45898,
43641,
9907,
30131,
3609,
634,
9403,
17789,
1854
] | Train |
36,143 | 31 | Title: From 10 Blue Links Pages to Feature-Full Search Engine Results Pages - Analysis of the Temporal Evolution of SERP Features
Abstract: Web Search Engine Results Pages (SERP) are one of the most well-known and used web pages. These pages have started as simple “10 blue links” pages, but the information in SERP curr... | [
28488,
42891
] | Train |
36,144 | 16 | Title: Explainability and robustness of deep visual classification models
Abstract: In the computer vision community, Convolutional Neural Networks (CNNs), first proposed in the 1980's, have become the standard visual classification model. Recently, as alternatives to CNNs, Capsule Networks (CapsNets) and Vision Transf... | [] | Train |
36,145 | 23 | Title: Analyzing the Quality of Submissions in Online Programming Courses
Abstract: Programming education should aim to provide students with a broad range of skills that they will later use while developing software. An important aspect in this is their ability to write code that is not only correct but also of high q... | [
9011
] | Validation |
36,146 | 30 | Title: Research without Re-search: Maximal Update Parametrization Yields Accurate Loss Prediction across Scales
Abstract: As language models scale up, it becomes increasingly expensive to verify research ideas because conclusions on small models do not trivially transfer to large ones. A possible solution is to establi... | [
13700,
2347,
33220,
4639
] | Train |
36,147 | 38 | Title: Embedding Models for Supervised Automatic Extraction and Classification of Named Entities in Scientific Acknowledgements
Abstract: Acknowledgments in scientific papers may give an insight into aspects of the scientific community, such as reward systems, collaboration patterns, and hidden research trends. The aim... | [] | Train |
36,148 | 24 | Title: Continuous Trajectory Generation Based on Two-Stage GAN
Abstract: Simulating the human mobility and generating large-scale trajectories are of great use in many real-world applications, such as urban planning, epidemic spreading analysis, and geographic privacy protect. Although many previous works have studied ... | [] | Train |
36,149 | 30 | Title: ArcGPT: A Large Language Model Tailored for Real-world Archival Applications
Abstract: Archives play a crucial role in preserving information and knowledge, and the exponential growth of such data necessitates efficient and automated tools for managing and utilizing archive information resources. Archival applic... | [
40192,
11614,
1923,
13700,
33220,
33830,
27111,
395,
24308,
39061,
33815,
22334
] | Train |
36,150 | 16 | Title: Kefa: A Knowledge Enhanced and Fine-grained Aligned Speaker for Navigation Instruction Generation
Abstract: We introduce a novel speaker model \textsc{Kefa} for navigation instruction generation. The existing speaker models in Vision-and-Language Navigation suffer from the large domain gap of vision features bet... | [] | Train |
36,151 | 37 | Title: Applying Process Mining on Scientific Workflows: a Case Study
Abstract: Computer-based scientific experiments are becoming increasingly data-intensive. High-Performance Computing (HPC) clusters are ideal for executing large scientific experiment workflows. Executing large scientific workflows in an HPC cluster l... | [] | Test |
36,152 | 34 | Title: The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting
Abstract: We introduce and study the online pause and resume problem. In this problem, a player attempts to find the $k$ lowest (alternatively, highest) prices in a sequence of fixed length $T$, which is reve... | [
39698
] | Validation |
36,153 | 33 | Title: Operations on Boolean and Alternating Finite Automata
Abstract: We investigate the descriptional complexity of basic regular operations on languages represented by Boolean and alternating finite automata. In particular, we consider the operations of difference, symmetric difference, star, reversal, left quotient... | [] | Test |
36,154 | 24 | Title: MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption
Abstract: Fast model updates for unseen tasks on intelligent edge devices are crucial but also challenging due to the limited computational power. In this paper,we propose MetaLDC, which meta-trains braininspired ultra-ef... | [] | Train |
36,155 | 24 | Title: Constructing Indoor Region-based Radio Map without Location Labels
Abstract: Radio map construction requires a large amount of radio measurement data with location labels, which imposes a high deployment cost. This paper develops a region-based radio map from received signal strength (RSS) measurements without l... | [] | Test |
36,156 | 24 | Title: Ternary Singular Value Decomposition as a Better Parameterized Form in Linear Mapping
Abstract: We present a simple yet novel parameterized form of linear mapping to achieves remarkable network compression performance: a pseudo SVD called Ternary SVD (TSVD). Unlike vanilla SVD, TSVD limits the $U$ and $V$ matric... | [
12851
] | Validation |
36,157 | 30 | Title: Hashtag-Guided Low-Resource Tweet Classification
Abstract: Social media classification tasks (e.g., tweet sentiment analysis, tweet stance detection) are challenging because social media posts are typically short, informal, and ambiguous. Thus, training on tweets is challenging and demands large-scale human-anno... | [
11354
] | Train |
36,158 | 10 | Title: A system for Human-AI collaboration for Online Customer Support
Abstract: AI enabled chat bots have recently been put to use to answer customer service queries, however it is a common feedback of users that bots lack a personal touch and are often unable to understand the real intent of the user's question. To t... | [] | Test |
36,159 | 23 | Title: Explainable Automated Debugging via Large Language Model-driven Scientific Debugging
Abstract: Automated debugging techniques have the potential to reduce developer effort in debugging, and have matured enough to be adopted by industry. However, one critical issue with existing techniques is that, while develope... | [
12107,
23853,
22097,
16917,
33210
] | Validation |
36,160 | 33 | Title: When Stars Control a Grammar's Work
Abstract: Graph-controlled insertion-deletion (GCID) systems are regulated extensions of insertion-deletion systems. Such a system has several components and each component contains some insertion-deletion rules. The components are the vertices of a directed control graph. A r... | [] | Train |
36,161 | 6 | Title: Collaborative Machine Learning Model Building with Families Using Co-ML
Abstract: Existing novice-friendly machine learning (ML) modeling tools center around a solo user experience, where a single user collects only their own data to build a model. However, solo modeling experiences limit valuable opportunities ... | [] | Train |
36,162 | 4 | Title: Summary Statistic Privacy in Data Sharing
Abstract: Data sharing between different parties has become increasingly common across industry and academia. An important class of privacy concerns that arises in data sharing scenarios regards the underlying distribution of data. For example, the total traffic volume o... | [
10118
] | Train |
36,163 | 36 | Title: Optimally Interpolating between Ex-Ante Fairness and Welfare
Abstract: For the fundamental problem of allocating a set of resources among individuals with varied preferences, the quality of an allocation relates to the degree of fairness and the collective welfare achieved. Unfortunately, in many resource-alloca... | [] | Test |
36,164 | 24 | Title: Variational Autoencoding Neural Operators
Abstract: Unsupervised learning with functional data is an emerging paradigm of machine learning research with applications to computer vision, climate modeling and physical systems. A natural way of modeling functional data is by learning operators between infinite dime... | [
7258,
27475
] | Train |
36,165 | 24 | Title: Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems
Abstract: Smart traffic lights in intelligent transportation systems (ITSs) are envisioned to greatly increase traffic efficiency and reduce congestion. Deep reinforcement learning (DRL) is a promising approach to adaptiv... | [] | Test |
36,166 | 31 | Title: On the Impact of Outlier Bias on User Clicks
Abstract: User interaction data is an important source of supervision in counterfactual learning to rank (CLTR). Such data suffers from presentation bias. Much work in unbiased learning to rank (ULTR) focuses on position bias, i.e., items at higher ranks are more like... | [] | Test |
36,167 | 16 | Title: Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging
Abstract: Self-supervised learning is crucial for clinical imaging applications, given the lack of explicit labels in healthcare. However, conventional approaches that rely on precise vision-language alignment are not always feasible... | [
27700,
8719
] | Train |
36,168 | 16 | Title: Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
Abstract: Text-to-image models give rise to workflows which often begin with an exploration step, where users sift through a large collection of generated images. The global nature of the text-to-image generation process prevents users ... | [
24257,
7458,
25666,
30402,
37254,
16103,
41146,
2985,
25739,
11820,
33261,
20435,
20949,
19672,
42137,
34074,
43867
] | Train |
36,169 | 31 | Title: Fisher-Weighted Merge of Contrastive Learning Models in Sequential Recommendation
Abstract: Along with the exponential growth of online platforms and services, recommendation systems have become essential for identifying relevant items based on user preferences. The domain of sequential recommendation aims to ca... | [] | Validation |
36,170 | 5 | Title: Engineering Massively Parallel MST Algorithms
Abstract: We develop and extensively evaluate highly scalable distributed-memory algorithms for computing minimum spanning trees (MSTs). At the heart of our solutions is a scalable variant of Borůvka’s algorithm. For partitioned graphs with many local edges we improv... | [
35995
] | Train |
36,171 | 30 | Title: MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset
Abstract: Relation extraction (RE) is a fundamental task in information extraction, whose extension to multilingual settings has been hindered by the lack of supervised resources comparable in size to large English datasets such as TACRED... | [] | Train |
36,172 | 24 | Title: Towards Semi-supervised Learning with Non-random Missing Labels
Abstract: Semi-supervised learning (SSL) tackles the label missing problem by enabling the effective usage of unlabeled data. While existing SSL methods focus on the traditional setting, a practical and challenging scenario called label Missing Not ... | [] | Train |
36,173 | 16 | Title: Malicious or Benign? Towards Effective Content Moderation for Children's Videos
Abstract: Online video platforms receive hundreds of hours of uploads every minute, making manual content moderation impossible. Unfortunately, the most vulnerable consumers of malicious video content are children from ages 1-5 whose... | [] | Test |
36,174 | 16 | Title: LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross- Modal Fusion
Abstract: LiDAR-camera fusion methods have shown impressive performance in 3D object detection. Recent advanced multi-modal methods mainly perform global fusion, where image features and point cloud features are fused across t... | [
32036,
45579,
36523,
16078,
4047,
32662
] | Test |
36,175 | 10 | Title: ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis
Abstract: Multimodal Sentiment Analysis leverages multimodal signals to detect the sentiment of a speaker. Previous approaches concentrate on performing multimodal fusion and representation learning based on general knowledge obtained from ... | [] | Train |
36,176 | 4 | Title: Smart Contract Migration: Security Analysis and Recommendations from Ethereum to Arbitrum
Abstract: This research aims to explore the security risks posed by compatibility and protocol differences in smart contract migration, using the migration of smart contracts from Ethereum to Arbitrum as a case study. Throu... | [] | Train |
36,177 | 6 | Title: Analysis of Pleasantness Evoked by Various Airborne Ultrasound Tactile Stimuli Using Pairwise Comparisons and the Bradley-Terry Model
Abstract: The presentation of a moving tactile stimulus to a person's forearm evokes a pleasant sensation. The speed, intensity, and contact area of the strokes should be systemat... | [] | Validation |
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