node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
39,678 | 3 | Title: How to Train Your YouTube Recommender to Avoid Unwanted Videos
Abstract: YouTube provides features for users to indicate disinterest when presented with unwanted recommendations, such as the"Not interested"and"Don't recommend channel"buttons. These buttons are purported to allow the user to correct"mistakes"made... | [] | Train |
39,679 | 16 | Title: DomainAdaptor: A Novel Approach to Test-time Adaptation
Abstract: To deal with the domain shift between training and test samples, current methods have primarily focused on learning generalizable features during training and ignore the specificity of unseen samples that are also critical during the test. In this... | [
39894
] | Train |
39,680 | 3 | Title: The science of fake news
Abstract: Addressing fake news requires a multidisciplinary effort The rise of fake news highlights the erosion of long-standing institutional bulwarks against misinformation in the internet age. Concern over the problem is global. However, much remains unknown regarding the vulnerabilit... | [
138,
30477,
34318,
36882,
42901,
32161,
21794,
39330,
20900,
27945,
38830,
30261,
22970,
13248,
44491,
19666,
5843,
41042,
40787,
13654,
1879,
39767,
30430,
10607,
2288,
1524,
13686,
44410
] | Train |
39,681 | 3 | Title: Transition-Aware Multi-Activity Knowledge Tracing
Abstract: Accurate modeling of student knowledge is essential for large-scale online learning systems that are increasingly used for student training. Knowledge tracing aims to model student knowledge state given the student’s sequence of learning activities. Mod... | [] | Train |
39,682 | 11 | Title: CrowdLogo: crowd simulation in NetLogo
Abstract: Planning the evacuation of people from crowded places, such as squares, stadiums, or indoor arenas during emergency scenarios is a fundamental task that authorities must deal with. This article summarizes the work of the authors to simulate an emergency scenario i... | [] | Test |
39,683 | 25 | Title: Optimizing Feature Extraction for Symbolic Music
Abstract: This paper presents a comprehensive investigation of existing feature extraction tools for symbolic music and contrasts their performance to determine the set of features that best characterizes the musical style of a given music score. In this regard, w... | [] | Test |
39,684 | 2 | Title: Embedded Finite Models beyond Restricted Quantifier Collapse
Abstract: We revisit evaluation of logical formulas that allow both uninterpreted relations, constrained to be finite, as well as interpreted vocabulary over an infinite domain: denoted in the past as embedded finite model theory. We extend the analysi... | [] | Test |
39,685 | 28 | Title: Performance Analysis for Near-Field MIMO: Discrete and Continuous Aperture Antennas
Abstract: Performance analysis is carried out in a near-field multiple-input multiple-output (MIMO) system for both discrete and continuous aperture antennas. The effective degrees of freedom (EDoF) is first derived. It is shown ... | [
34241,
6959
] | Train |
39,686 | 10 | Title: The Future of Artificial Intelligence (AI) and Machine Learning (ML) in Landscape Design: A Case Study in Coastal Virginia, USA
Abstract: There have been theory-based endeavours that directly engage with AI and ML in the landscape discipline. By presenting a case that uses machine learning techniques to predict ... | [
27272
] | Validation |
39,687 | 16 | Title: Checklist to Transparently Define Test Oracles for TP, FP, and FN Objects in Automated Driving
Abstract: Popular test oracles for the perception subsystem of driving automation systems identify true-positive (TP), false-positive (FP), and false-negative (FN) objects. Oracle transparency is needed for comparing t... | [
9938,
5917
] | Validation |
39,688 | 8 | Title: Improving Data Transfer Efficiency for AIs in the DareFightingICE using gRPC
Abstract: This paper presents a new communication interface for the DareFightingICE platform, a Java-based fighting game focused on implementing AI for controlling a non-player character. The interface uses an open-source remote procedu... | [
13400
] | Train |
39,689 | 10 | Title: Deep Task-specific Bottom Representation Network for Multi-Task Recommendation
Abstract: Neural-based multi-task learning (MTL) has gained significant improvement, and it has been successfully applied to recommendation system (RS). Recent deep MTL methods for RS (e.g. MMoE, PLE) focus on designing soft gating-ba... | [] | Test |
39,690 | 24 | Title: An Improved Model Ensembled of Different Hyper-parameter Tuned Machine Learning Algorithms for Fetal Health Prediction
Abstract: Fetal health is a critical concern during pregnancy as it can impact the well-being of both the mother and the baby. Regular monitoring and timely interventions are necessary to ensure... | [
6462
] | Train |
39,691 | 30 | Title: Leave no Place Behind: Improved Geolocation in Humanitarian Documents
Abstract: Geographical location is a crucial element of humanitarian response, outlining vulnerable populations, ongoing events, and available resources. Latest developments in Natural Language Processing may help in extracting vital informati... | [] | Test |
39,692 | 16 | Title: Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras
Abstract: Existing approaches for autonomous control of pan-tilt-zoom (PTZ) cameras use multiple stages where object detection and localization are performed separately from the control of the PTZ mechanisms. These approaches r... | [] | Train |
39,693 | 16 | Title: PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks
Abstract: Many deep learning tasks require annotations that are too time consuming for human operators, resulting in small dataset sizes. This is especially true for dense regression problems such as crowd counting which re... | [
17416
] | Train |
39,694 | 30 | Title: Personalized Predictive ASR for Latency Reduction in Voice Assistants
Abstract: Streaming Automatic Speech Recognition (ASR) in voice assistants can utilize prefetching to partially hide the latency of response generation. Prefetching involves passing a preliminary ASR hypothesis to downstream systems in order t... | [] | Train |
39,695 | 27 | Title: Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour
Abstract: Being able to reason about how one’s behaviour can affect the behaviour of others is a core skill required of intelligent driving agents. Despite this, the state of the art struggles to meet the need of agents to discover c... | [
42411
] | Test |
39,696 | 16 | Title: CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying
Abstract: Image inpainting aims to fill the missing hole of the input. It is hard to solve this task efficiently when facing high-resolution images due to two reasons: (1) Large reception field needs to be handled for hig... | [] | Train |
39,697 | 24 | Title: Are More Layers Beneficial to Graph Transformers?
Abstract: Despite that going deep has proven successful in many neural architectures, the existing graph transformers are relatively shallow. In this work, we explore whether more layers are beneficial to graph transformers, and find that current graph transforme... | [
29329,
21050
] | Train |
39,698 | 5 | Title: The War of the Efficiencies: Understanding the Tension between Carbon and Energy Optimization
Abstract: Major innovations in computing have been driven by scaling up computing infrastructure, while aggressively optimizing operating costs. The result is a network of worldwide datacenters that consume a large amou... | [
36152,
34961,
26667,
34309
] | Validation |
39,699 | 1 | Title: Audio Retrieval for Multimodal Design Documents: A New Dataset and Algorithms
Abstract: We consider and propose a new problem of retrieving audio files relevant to multimodal design document inputs comprising both textual elements and visual imagery, e.g., birthday/greeting cards. In addition to enhancing user e... | [] | Validation |
39,700 | 18 | Title: Resistive memory-based zero-shot liquid state machine for multimodal event data learning
Abstract: The human brain is a complex spiking neural network (SNN) that learns multimodal signals in a zero-shot manner by generalizing existing knowledge. Remarkably, the brain achieves this with minimal power consumption,... | [] | Train |
39,701 | 24 | Title: Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models
Abstract: We introduce a two-stage probabilistic framework for statistical downscaling between unpaired data. Statistical downscaling seeks a probabilistic map to transform low-resolution d... | [
5683
] | Train |
39,702 | 16 | Title: Efficient Masked Autoencoders with Self-Consistency
Abstract: Inspired by masked language modeling (MLM) in natural language processing, masked image modeling (MIM) has been recognized as a strong and popular self-supervised pre-training method in computer vision. However, its high random mask ratio would result... | [] | Validation |
39,703 | 24 | Title: Advances and Challenges in Meta-Learning: A Technical Review
Abstract: Meta-learning empowers learning systems with the ability to acquire knowledge from multiple tasks, enabling faster adaptation and generalization to new tasks. This review provides a comprehensive technical overview of meta-learning, emphasizi... | [
28195,
33220,
13700,
42263,
30334
] | Train |
39,704 | 16 | Title: LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition
Abstract: The diversity in length constitutes a significant characteristic of text. Due to the long-tail distribution of text lengths, most existing methods for scene text recognition (STR) only work well on short or seen-length text, lackin... | [] | Train |
39,705 | 24 | Title: E(n)-equivariant Graph Neural Cellular Automata
Abstract: Cellular automata (CAs) are computational models exhibiting rich dynamics emerging from the local interaction of cells arranged in a regular lattice. Graph CAs (GCAs) generalise standard CAs by allowing for arbitrary graphs rather than regular lattices, s... | [
1676
] | Train |
39,706 | 30 | Title: Combat AI With AI: Counteract Machine-Generated Fake Restaurant Reviews on Social Media
Abstract: Recent advances in generative models such as GPT may be used to fabricate indistinguishable fake customer reviews at a much lower cost, thus posing challenges for social media platforms to detect these machine-gener... | [] | Train |
39,707 | 6 | Title: Affective Visualization Design: Leveraging the Emotional Impact of Data
Abstract: In recent years, more and more researchers have reflected on the undervaluation of emotion in data visualization and highlighted the importance of considering human emotion in visualization design. Meanwhile, an increasing number o... | [] | Train |
39,708 | 16 | Title: Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module
Abstract: Although Convolutional Neural Networks (CNNs) have achieved promising results in image classification, they still are vulnerable to affine transformations including rotation, translation, flip and shuf... | [
20882,
10559
] | Train |
39,709 | 30 | Title: Examining Temporalities on Stance Detection Towards COVID-19 Vaccination
Abstract: Previous studies have highlighted the importance of vaccination as an effective strategy to control the transmission of the COVID-19 virus. It is crucial for policymakers to have a comprehensive understanding of the public's stanc... | [
32896
] | Test |
39,710 | 31 | Title: Zero-shot Query Reformulation for Conversational Search
Abstract: As the popularity of voice assistants continues to surge, conversational search has gained increased attention in Information Retrieval. However, data sparsity issues in conversational search significantly hinder the progress of supervised convers... | [
33380
] | Train |
39,711 | 5 | Title: GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism
Abstract: Large-scale graphs with billions of edges are ubiquitous in many industries, science, and engineering fields such as recommendation systems, social graph analysis, knowledge base, material science, and biology. Graph ne... | [
9268
] | Train |
39,712 | 13 | Title: On the Unbounded External Archive and Population Size in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point
Abstract: Although the population size is an important parameter in evolutionary multi-objective optimization (EMO), little is known about its influence on preference-based ... | [
15808,
2221
] | Train |
39,713 | 37 | Title: Kepler: Robust Learning for Parametric Query Optimization
Abstract: Most existing parametric query optimization (PQO) techniques rely on traditional query optimizer cost models, which are often inaccurate and result in suboptimal query performance. We propose Kepler, an end-to-end learning-based approach to PQO ... | [
37040
] | Validation |
39,714 | 1 | Title: All-intra rate control using low complexity video features for Versatile Video Coding
Abstract: Versatile Video Coding (VVC) allows for large compression efficiency gains over its predecessor, High Efficiency Video Coding (HEVC). The added efficiency comes at the cost of increased runtime complexity, especially ... | [
42851,
31207
] | Validation |
39,715 | 24 | Title: Delegated Classification
Abstract: When machine learning is outsourced to a rational agent, conflicts of interest might arise and severely impact predictive performance. In this work, we propose a theoretical framework for incentive-aware delegation of machine learning tasks. We model delegation as a principal-a... | [
35799
] | Test |
39,716 | 7 | Title: Residual-based error bound for physics-informed neural networks
Abstract: Neural networks are universal approximators and are studied for their use in solving differential equations. However, a major criticism is the lack of error bounds for obtained solutions. This paper proposes a technique to rigorously evalu... | [] | Train |
39,717 | 16 | Title: Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime
Abstract: Large-scale visual language models are widely used as pre-trained models and then adapted for various downstream tasks. While humans are known to efficiently learn new tasks from a few examples, deep le... | [] | Train |
39,718 | 24 | Title: Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation
Abstract: Federated bilevel optimization has attracted increasing attention due to emerging machine learning and communication applications. The biggest challenge lies in computing the gradient of the upper-level... | [
36922,
45676,
3653
] | Train |
39,719 | 3 | Title: Explore the possibility of advancing climate negotiations on the basis of regional trade organizations: A study based on RICE-N
Abstract: Climate issues have become more and more important now. Although global governments have made some progress, we are still facing the truth that the prospect of international c... | [] | Train |
39,720 | 10 | Title: Rejecting Cognitivism: Computational Phenomenology for Deep Learning
Abstract: We propose a non-representationalist framework for deep learning relying on a novel method: computational phenomenology, a dialogue between the first-person perspective (relying on phenomenology) and the mechanisms of computational mo... | [
21704,
14799
] | Train |
39,721 | 24 | Title: DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation
Abstract: Backdoor attacks have emerged as an urgent threat to Deep Neural Networks (DNNs), where victim DNNs are furtively implanted with malicious neurons that could be triggered by the adversary. To defen... | [] | Train |
39,722 | 30 | Title: Advancing Italian Biomedical Information Extraction with Large Language Models: Methodological Insights and Multicenter Practical Application
Abstract: The introduction of computerized medical records in hospitals has reduced burdensome operations like manual writing and information fetching. However, the data c... | [] | Test |
39,723 | 24 | Title: Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching
Abstract: Training and inference with graph neural networks (GNNs) on massive graphs has been actively studied since the inception of GNNs, owing to the widespread use and success of GNNs in applications ... | [] | Train |
39,724 | 27 | Title: A Population-Level Analysis of Neural Dynamics in Robust Legged Robots
Abstract: Recurrent neural network-based reinforcement learning systems are capable of complex motor control tasks such as locomotion and manipulation, however, much of their underlying mechanisms still remain difficult to interpret. Our aim ... | [
28567
] | Train |
39,725 | 16 | Title: S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture
Abstract: Multimodal multitask learning has attracted an increasing interest in recent years. Singlemodal models have been advancing rapidly and have achieved astonishing results on various tasks across multiple domains. Multimodal le... | [] | Test |
39,726 | 24 | Title: MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphs
Abstract: Conventional time series classification approaches based on bags of patterns or shapelets face significant challenges in dealing with a vast amount of feature candidates from high-dimensional multivariate dat... | [] | Train |
39,727 | 26 | Title: Disparity in the Evolving COVID-19 Collaboration Network
Abstract: The COVID 19 pandemic has paused many ongoing research projects and unified researchers' attention to focus on COVID 19 related issues. Our project traces 712294 scientists' publications related to COVID 19 for two years, from January 2020 to Dec... | [] | Validation |
39,728 | 24 | Title: Stacking of Hyperparameter Tuned Models for Tagging Coding Problems
Abstract: Coding problems are problems that require a solution in the form of a computer program. Coding problems are popular among students and professionals as it enhances their skills and career opportunities. An AI system that would help tho... | [] | Train |
39,729 | 15 | Title: PASS: Exploiting Post-Activation Sparsity in Streaming Architectures for CNN Acceleration
Abstract: With the ever-growing popularity of Artificial Intelligence, there is an increasing demand for more performant and efficient underlying hardware. Convolutional Neural Networks (CNN) are a workload of particular im... | [] | Train |
39,730 | 16 | Title: StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
Abstract: Generating video stories from text prompts is a complex task. In addition to having high visual quality, videos need to realistically adhere to a sequence of text prompts whilst being consistent throughout the frames. Creating a be... | [
42272,
27171,
12841,
23563,
3979,
14966
] | Test |
39,731 | 31 | Title: Contrastive Collaborative Filtering for Cold-Start Item Recommendation
Abstract: The cold-start problem is a long-standing challenge in recommender systems. As a promising solution, content-based generative models usually project a cold-start item’s content onto a warm-start item embedding to capture collaborati... | [
44519
] | Train |
39,732 | 26 | Title: Examining the impacts of privacy awareness on user's self-disclosure on social media
Abstract: This research aims to investigate the impact of users' privacy awareness on their self-disclosing behavior. Our primary research question is to investigate how young social media users feel about the benefits and risks... | [] | Validation |
39,733 | 27 | Title: EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought
Abstract: Embodied AI is a crucial frontier in robotics, capable of planning and executing action sequences for robots to accomplish long-horizon tasks in physical environments. In this work, we introduce EmbodiedGPT, an end-to-end multi-mod... | [
10624,
5123,
13700,
37765,
39823,
41104,
27282,
8084,
8214,
3609,
19492,
18621,
1854,
37438,
3398,
5707,
22094,
23502,
481,
37987,
1900,
13935,
6770,
19578,
2811,
13564
] | Validation |
39,734 | 6 | Title: AR.S.Space: An AR Casual Game for Social Engagement in Work Environments
Abstract: In social situations, individuals often encounter communication challenges, particularly when adapting to new environments. While some studies have acknowledged the potential of AR social games to aid in effective socialization to... | [] | Train |
39,735 | 8 | Title: HiFlash: Communication-Efficient Hierarchical Federated Learning With Adaptive Staleness Control and Heterogeneity-Aware Client-Edge Association
Abstract: Federated learning (FL) is a promising paradigm that enables collaboratively learning a shared model across massive clients while keeping the training data lo... | [
12110
] | Train |
39,736 | 16 | Title: Intrinsic Physical Concepts Discovery with Object-Centric Predictive Models
Abstract: The ability to discover abstract physical concepts and understand how they work in the world through observing lies at the core of human intelligence. The acquisition of this ability is based on compositionally perceiving the e... | [] | Train |
39,737 | 16 | Title: DVIS: Decoupled Video Instance Segmentation Framework
Abstract: Video instance segmentation (VIS) is a critical task with diverse applications, including autonomous driving and video editing. Existing methods often underperform on complex and long videos in real world, primarily due to two factors. Firstly, offl... | [
30881,
22562,
16804,
34955,
24108,
9622,
2716
] | Train |
39,738 | 4 | Title: "False negative - that one is going to kill you": Understanding Industry Perspectives of Static Analysis based Security Testing
Abstract: The demand for automated security analysis techniques, such as static analysis based security testing (SAST) tools continues to increase. To develop SASTs that are effectively... | [
6045
] | Train |
39,739 | 23 | Title: EnergyAnalyzer: Using Static WCET Analysis Techniques to Estimate the Energy Consumption of Embedded Applications
Abstract: This paper presents EnergyAnalyzer, a code-level static analysis tool for estimating the energy consumption of embedded software based on statically predictable hardware events. The tool ut... | [
21693,
9974,
23679
] | Train |
39,740 | 30 | Title: Characterizing Latent Perspectives of Media Houses Towards Public Figures
Abstract: Media houses reporting on public figures, often come with their own biases stemming from their respective worldviews. A characterization of these underlying patterns helps us in better understanding and interpreting news stories.... | [] | Test |
39,741 | 4 | Title: Formal and Fuzzing Amplification: Targeting Vulnerability Detection in 5G and Beyond
Abstract: Softwarization and virtualization in 5G and beyond require rigorous testing against vulnerabilities and unintended emergent behaviors for critical infrastructure and network security assurance. Formal methods operates ... | [
34245,
32253,
2055
] | Train |
39,742 | 15 | Title: SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices
Abstract: AI has led to significant advancements in computer vision and image processing tasks, enabling a wide range of applications in real-life scenarios, from autonomous vehicles to medical imaging. Many of those applicatio... | [
24788,
18908
] | Train |
39,743 | 15 | Title: Design of a Low-Power High-Gain Bio-Medical Operational Amplifier in 65nm Technology using gm/ID Methodology
Abstract: Operational Amplifiers (Op-Amps) play a crucial role in the field of biomedical engineering, as they enable signal amplification and processing in various medical devices. With the increasing de... | [] | Train |
39,744 | 24 | Title: The Effect of Balancing Methods on Model Behavior in Imbalanced Classification Problems
Abstract: Imbalanced data poses a significant challenge in classification as model performance is affected by insufficient learning from minority classes. Balancing methods are often used to address this problem. However, suc... | [] | Train |
39,745 | 36 | Title: Game Theory with Simulation of Other Players
Abstract: Game-theoretic interactions with AI agents could differ from traditional human-human interactions in various ways. One such difference is that it may be possible to simulate an AI agent (for example because its source code is known), which allows others to a... | [
1851
] | Train |
39,746 | 16 | Title: 3D generation on ImageNet
Abstract: Existing 3D-from-2D generators are typically designed for well-curated single-category datasets, where all the objects have (approximately) the same scale, 3D location, and orientation, and the camera always points to the center of the scene. This makes them inapplicable to di... | [
41984,
15352,
680,
3912,
19434,
43399,
36947,
10520,
28379,
40253
] | Train |
39,747 | 24 | Title: Improving Offline RL by Blending Heuristics
Abstract: We propose Heuristic Blending (HUBL), a simple performance-improving technique for a broad class of offline RL algorithms based on value bootstrapping. HUBL modifies Bellman operators used in these algorithms, partially replacing the bootstrapped values with ... | [
31860
] | Train |
39,748 | 10 | Title: Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolation
Abstract: Temporal knowledge graphs, representing the dynamic relationships and interactions between entities over time, have been identified as a promising approach for event forecasting. However, a limitation of most temp... | [] | Train |
39,749 | 23 | Title: Effective Test Generation Using Pre-trained Large Language Models and Mutation Testing
Abstract: One of the critical phases in software development is software testing. Testing helps with identifying potential bugs and reducing maintenance costs. The goal of automated test generation tools is to ease the develop... | [
3448,
43641,
6604
] | Test |
39,750 | 16 | Title: Compact Twice Fusion Network for Edge Detection
Abstract: The significance of multi-scale features has been gradually recognized by the edge detection community. However, the fusion of multi-scale features increases the complexity of the model, which is not friendly to practical application. In this work, we pro... | [] | Train |
39,751 | 10 | Title: LR-XFL: Logical Reasoning-based Explainable Federated Learning
Abstract: Federated learning (FL) is an emerging approach for training machine learning models collaboratively while preserving data privacy. The need for privacy protection makes it difficult for FL models to achieve global transparency and explaina... | [] | Train |
39,752 | 23 | Title: BadCS: A Backdoor Attack Framework for Code search
Abstract: With the development of deep learning (DL), DL-based code search models have achieved state-of-the-art performance and have been widely used by developers during software development. However, the security issue, e.g., recommending vulnerable code, has... | [
12170
] | Train |
39,753 | 24 | Title: D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
Abstract: Kohn-Sham Density Functional Theory (KS-DFT) has been traditionally solved by the Self-Consistent Field (SCF) method. Behind the SCF loop is the physics intuition of solving a system of non-interactive single-electron wave functions ... | [] | Train |
39,754 | 24 | Title: On Feature Diversity in Energy-based Models
Abstract: Energy-based learning is a powerful learning paradigm that encapsulates various discriminative and generative approaches. An energy-based model (EBM) is typically formed of inner-model(s) that learn a combination of the different features to generate an energ... | [
15072,
1799
] | Train |
39,755 | 24 | Title: Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing
Abstract: The ability to leverage shared behaviors between tasks is critical for sample-efficient multi-task reinforcement learning (MTRL). While prior methods have primarily explored parameter and data sharing, direct behavior-sharing ha... | [
1819
] | Test |
39,756 | 4 | Title: Quantum Cyber-Attack on Blockchain-based VANET
Abstract: Blockchain-based Vehicular Ad-hoc Network (VANET) is widely considered as secure communication architecture for a connected transportation system. With the advent of quantum computing, there are concerns regarding the vulnerability of this architecture aga... | [] | Train |
39,757 | 30 | Title: Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering
Abstract: We present a new pre-training method, Multimodal Inverse Cloze Task, for Knowledge-based Visual Question Answering about named Entities (KVQAE). KVQAE is a recently introduced task that consists in answering questions about nam... | [
17345,
21461
] | Test |
39,758 | 24 | Title: Regularly Truncated M-estimators for Learning with Noisy Labels
Abstract: The sample selection approach is very popular in learning with noisy labels. As deep networks learn pattern first, prior methods built on sample selection share a similar training procedure: the small-loss examples can be regarded as clean... | [] | Train |
39,759 | 16 | Title: EVE: Efficient zero-shot text-based Video Editing with Depth Map Guidance and Temporal Consistency Constraints
Abstract: Motivated by the superior performance of image diffusion models, more and more researchers strive to extend these models to the text-based video editing task. Nevertheless, current video editi... | [
10624,
20960,
42272,
1860,
12841,
15983,
34351,
28113,
25368,
26429
] | Test |
39,760 | 16 | Title: CoRF : Colorizing Radiance Fields using Knowledge Distillation
Abstract: Neural radiance field (NeRF) based methods enable high-quality novel-view synthesis for multi-view images. This work presents a method for synthesizing colorized novel views from input grey-scale multi-view images. When we apply image or vi... | [] | Train |
39,761 | 16 | Title: Multimodal Industrial Anomaly Detection via Hybrid Fusion
Abstract: 2D-based Industrial Anomaly Detection has been widely discussed, however, multimodal industrial anomaly detection based on 3D point clouds and RGB images still has many untouched fields. Existing multimodal industrial anomaly detection methods d... | [
18470,
40265,
10674,
26264,
3865,
34077
] | Train |
39,762 | 24 | Title: Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems
Abstract: Model-free RL-based recommender systems have recently received increasing research attention due to their capability to handle partial feedback and long-term rewards. However, most existing research has ignor... | [
22337
] | Test |
39,763 | 24 | Title: Training generative models from privatized data
Abstract: Local differential privacy (LDP) is a powerful method for privacy-preserving data collection. In this paper, we develop a framework for training Generative Adversarial Networks (GAN) on differentially privatized data. We show that entropic regularization ... | [] | Train |
39,764 | 16 | Title: Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning
Abstract: Humans have the innate capability to answer diverse questions, which is rooted in the natural ability to correlate different concepts based on their semantic relationships and decompose difficult problems into... | [] | Test |
39,765 | 25 | Title: Enhance Temporal Relations in Audio Captioning with Sound Event Detection
Abstract: Automated audio captioning aims at generating natural language descriptions for given audio clips, not only detecting and classifying sounds, but also summarizing the relationships between audio events. Recent research advances i... | [
10818
] | Train |
39,766 | 24 | Title: Multimodal Side- Tuning for Document Classification
Abstract: In this paper, we propose to exploit the side-tuning framework for multimodal document classification. Side-tuning is a methodology for network adaptation recently introduced to solve some of the problems related to previous approaches. Thanks to this... | [] | Validation |
39,767 | 26 | Title: CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networks
Abstract: Existing approaches for information cascade prediction fall into three main categories: feature-driven methods, point process-based methods, and deep learning-based methods. Among them, deep learning... | [
39680
] | Train |
39,768 | 27 | Title: Safe Hierarchical Navigation in Crowded Dynamic Uncertain Environments
Abstract: This paper describes a hierarchical solution consisting of a multi-phase planner and a low-level safe controller to jointly solve the safe navigation problem in crowded, dynamic, and uncertain environments. The planner employs dynam... | [
30675
] | Test |
39,769 | 16 | Title: Mode-locking Theory for Long-Range Interaction in Artificial Neural Networks
Abstract: Visual long-range interaction refers to modeling dependencies between distant feature points or blocks within an image, which can significantly enhance the model's robustness. Both CNN and Transformer can establish long-range ... | [] | Train |
39,770 | 28 | Title: Time-Entanglement QKD: Secret Key Rates and Information Reconciliation Coding
Abstract: In time entanglement-based quantum key distribution (QKD), Alice and Bob extract the raw key bits from the (identical) arrival times of entangled photon pairs by time-binning. Each of them individually discretizes time into b... | [
41255
] | Train |
39,771 | 30 | Title: IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of Images
Abstract: Word embeddings, i.e., semantically meaningful vector representation of words, are largely influenced by the distributional hypothesis"You shall know a word by the company it keeps"(Harris, 1954), whereas modern pr... | [
18692,
13285
] | Train |
39,772 | 30 | Title: tieval: An Evaluation Framework for Temporal Information Extraction Systems
Abstract: Temporal information extraction (TIE) has attracted a great deal of interest over the last two decades. Such endeavors have led to the development of a significant number of datasets. Despite its benefits, having access to a la... | [
45478
] | Train |
39,773 | 24 | Title: LEVER: Learning to Verify Language-to-Code Generation with Execution
Abstract: The advent of large language models trained on code (code LLMs) has led to significant progress in language-to-code generation. State-of-the-art approaches in this area combine LLM decoding with sample pruning and reranking using test... | [
34820,
145,
10262,
17815,
34208,
37411,
28580,
22578,
4789,
11190,
46006,
28221,
2369,
36563,
28886,
16855,
37742,
10864,
2549
] | Train |
39,774 | 24 | Title: Generalization Bounds for Adversarial Contrastive Learning
Abstract: Deep networks are well-known to be fragile to adversarial attacks, and adversarial training is one of the most popular methods used to train a robust model. To take advantage of unlabeled data, recent works have applied adversarial training to ... | [
30929,
33414
] | Train |
39,775 | 16 | Title: An Integral Projection-Based Semantic Autoencoder for Zero-Shot Learning
Abstract: Zero-shot Learning (ZSL) classification categorizes or predicts classes (labels) that are not included in the training set (unseen classes). Recent works proposed different semantic autoencoder (SAE) models where the encoder embed... | [] | Validation |
39,776 | 36 | Title: Quantum Voting and Violation of Gibbard-Satterthwaite's Impossibility Theorem
Abstract: In the realm of algorithmic economics, voting systems are evaluated and compared by examining the properties or axioms they satisfy. While this pursuit has yielded valuable insights, it has also led to seminal impossibility r... | [] | Train |
39,777 | 23 | Title: Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification
Abstract: Code classification is a difficult issue in program understanding and automatic coding. Due to the elusive syntax and complicated semantics in programs, most existing studies use techniques based on... | [] | Test |
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