node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
26,078 | 16 | Title: DreamDiffusion: Generating High-Quality Images from Brain EEG Signals
Abstract: This paper introduces DreamDiffusion, a novel method for generating high-quality images directly from brain electroencephalogram (EEG) signals, without the need to translate thoughts into text. DreamDiffusion leverages pre-trained te... | [
23216,
15626
] | Train |
26,079 | 18 | Title: Deep Photonic Networks with Arbitrary and Broadband Functionality
Abstract: Growing application space in optical communications, computing, and sensing continues to drive the need for high-performance integrated photonic components. Designing these on-chip systems with complex and application-specific functional... | [] | Validation |
26,080 | 6 | Title: Estudio de la Experiencia de Usuario mediante un Sistema de Dashboards de Análisis de Aprendizaje Multimodal
Abstract: In the article, we present a Web-based System called M2LADS, which supports the integration and visualization of multimodal data recorded in user experiences (UX) in a Learning Analytics (LA) sy... | [
30844
] | Test |
26,081 | 16 | Title: Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes
Abstract: Multi-frame depth estimation generally achieves high accuracy relying on the multi-view geometric consistency. When applied in dynamic scenes, e.g., autonomous driving, this consistency is usually violated... | [] | Train |
26,082 | 28 | Title: Deletion Correcting Codes for Efficient DNA Synthesis
Abstract: The synthesis of DNA strands remains the most costly part of the DNA storage system. Thus, to make DNA storage system more practical, the time and materials used in the synthesis process have to be optimized. We consider the most common type of synt... | [] | Train |
26,083 | 10 | Title: Transforming Geospatial Ontologies by Homomorphisms
Abstract: In this paper, we study the (geospatial) ontologies we are interested in together as an ontology (a geospatial ontology) system, consisting of a set of the (geospatial) ontologies and a set of ontology operations. A homomorphism between two ontology s... | [] | Validation |
26,084 | 34 | Title: Assigning Agents to Increase Network-Based Neighborhood Diversity
Abstract: Motivated by real-world applications such as the allocation of public housing, we examine the problem of assigning a group of agents to vertices (e.g., spatial locations) of a network so that the diversity level is maximized. Specificall... | [] | Validation |
26,085 | 4 | Title: Blockchain-Based and Fuzzy Logic-Enabled False Data Discovery for the Intelligent Autonomous Vehicular System
Abstract: Since the beginning of this decade, several incidents report that false data injection attacks targeting intelligent connected vehicles cause huge industrial damage and loss of lives. Data Thef... | [] | Train |
26,086 | 16 | Title: SimpleNeRF: Regularizing Sparse Input Neural Radiance Fields with Simpler Solutions
Abstract: Neural Radiance Fields (NeRF) show impressive performance for the photorealistic free-view rendering of scenes. However, NeRFs require dense sampling of images in the given scene, and their performance degrades signific... | [
5698,
23014,
8296,
29000,
1163,
36811,
41230,
2614,
33751,
12665
] | Test |
26,087 | 24 | Title: Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed!
Abstract: Implicit layer deep learning techniques, like Neural Differential Equations, have become an important modeling framework due to their ability to adapt to new problems automatically. Training a neural differ... | [] | Test |
26,088 | 16 | Title: Controllable Guide-Space for Generalizable Face Forgery Detection
Abstract: Recent studies on face forgery detection have shown satisfactory performance for methods involved in training datasets, but are not ideal enough for unknown domains. This motivates many works to improve the generalization, but forgery-ir... | [] | Validation |
26,089 | 16 | Title: Mode Approximation Makes Good Multimodal Prompts
Abstract: Driven by the progress of large-scale pre-training, parameter-efficient transfer learning has gained immense popularity across different subfields of Artificial Intelligence. The core is to adapt the model to downstream tasks with only a small set of par... | [
12512,
22114,
4643,
13700,
21765,
13805,
13564
] | Test |
26,090 | 6 | Title: Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum
Abstract: Ethereum has become a popular blockchain with smart contracts for investors nowadays. Due to the decentralization and anonymity of Ethereum, Ponzi schemes have been easily deployed and caused significant losses to investors. However, th... | [
45361,
21562
] | Train |
26,091 | 30 | Title: Large Language Models are Effective Table-to-Text Generators, Evaluators, and Feedback Providers
Abstract: Large language models (LLMs) have shown remarkable ability on controllable text generation. However, the potential of LLMs in generating text from structured tables remains largely under-explored. In this p... | [
8289,
36545,
13700,
33220,
4111,
40020,
10357,
33464,
17789,
7998,
24479
] | Train |
26,092 | 16 | Title: MultiEarth 2023 Deforestation Challenge - Team FOREVER
Abstract: It is important problem to accurately estimate deforestation of satellite imagery since this approach can analyse extensive area without direct human access. However, it is not simple problem because of difficulty in observing the clear ground surf... | [
14698
] | Train |
26,093 | 16 | Title: Fine-grained Audible Video Description
Abstract: We explore a new task for audio-visual-language modeling called fine-grained audible video description (FAVD). It aims to provide detailed textual descriptions for the given audible videos, including the appearance and spatial locations of each object, the actions... | [
1313,
14227
] | Test |
26,094 | 30 | Title: Self-Deception: Reverse Penetrating the Semantic Firewall of Large Language Models
Abstract: Large language models (LLMs), such as ChatGPT, have emerged with astonishing capabilities approaching artificial general intelligence. While providing convenience for various societal needs, LLMs have also lowered the co... | [
7936,
9248,
41122,
13510,
17172,
8853,
21180,
19070
] | Test |
26,095 | 28 | Title: Weight hierarchies of 3-weight linear codes from two p-ary quadratic functions
Abstract: The weight hierarchy of a linear code has been an important research topic in coding theory since Wei's original work in 1991. Choosing $ D=\Big\{(x,y)\in \Big(\F_{p^{s_1}}\times\F_{p^{s_2}}\Big)\Big\backslash\{(0,0)\}: f(x)... | [
42041
] | Validation |
26,096 | 30 | Title: “I'm” Lost in Translation: Pronoun Missteps in Crowdsourced Data Sets
Abstract: As virtual assistants continue to be taken up globally, there is an ever-greater need for these speech-based systems to communicate naturally in a variety of languages. Crowdsourcing initiatives have focused on multilingual translati... | [] | Test |
26,097 | 16 | Title: GaitMorph: Transforming Gait by Optimally Transporting Discrete Codes
Abstract: Gait, the manner of walking, has been proven to be a reliable biometric with uses in surveillance, marketing and security. A promising new direction for the field is training gait recognition systems without explicit human annotation... | [
17178,
44447
] | Validation |
26,098 | 16 | Title: Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing
Abstract: Deep neural networks can be easily fooled into making incorrect predictions through corruption of the input by adversarial perturbations: human-imperceptible artificial noise. So far adversarial training has been the most succe... | [
37523,
10606
] | Test |
26,099 | 24 | Title: Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification
Abstract: Graph neural networks (GNNs) are increasingly used in critical human applications for predicting node labels in attributed graphs. Their ability to aggregate features from nodes' neighbors for accurate classi... | [] | Train |
26,100 | 27 | Title: Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps
Abstract: In this work, we present a reconfigurable data glove design to capture different modes of human hand-object interactions, which are critical in training embodied artificial intelligence (AI) agents for fine manipulation tasks. To ... | [] | Train |
26,101 | 24 | Title: No-Regret Caching with Noisy Request Estimates
Abstract: Online learning algorithms have been successfully used to design caching policies with regret guarantees. Existing algorithms assume that the cache knows the exact request sequence, but this may not be feasible in high load and/or memory-constrained scenar... | [] | Train |
26,102 | 24 | Title: Machine learning for the prediction of safe and biologically active organophosphorus molecules
Abstract: Drug discovery is a complex process with a large molecular space to be considered. By constraining the search space, the fragment-based drug design is an approach that can effectively sample the chemical spac... | [] | Train |
26,103 | 30 | Title: Improving TTS for Shanghainese: Addressing Tone Sandhi via Word Segmentation
Abstract: Tone is a crucial component of the prosody of Shanghainese, a Wu Chinese variety spoken primarily in urban Shanghai. Tone sandhi, which applies to all multi-syllabic words in Shanghainese, then, is key to natural-sounding spee... | [] | Train |
26,104 | 13 | Title: Long Sequence Hopfield Memory
Abstract: Sequence memory is an essential attribute of natural and artificial intelligence that enables agents to encode, store, and retrieve complex sequences of stimuli and actions. Computational models of sequence memory have been proposed where recurrent Hopfield-like neural net... | [
325
] | Train |
26,105 | 30 | Title: Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis
Abstract: Recent advances in the area of long document matching have primarily focused on using transformer-based models for long document encoding and matching. There are two primary challenges associated with these mode... | [] | Validation |
26,106 | 24 | Title: DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models
Abstract: Many large vision models have been deployed on the cloud for real-time services. Meanwhile, fresh samples are continuously generated on the served mobile device. How to leverage the device-side samples to improve the cloud-s... | [] | Train |
26,107 | 23 | Title: From Agile to DevOps, Holistic Approach for Faster and Efficient Software Product Release Management
Abstract: Release management is one of the most important software processes and is a set of processes that includes the compilation, configuration | [] | Test |
26,108 | 25 | Title: Catch You and I Can: Revealing Source Voiceprint Against Voice Conversion
Abstract: Voice conversion (VC) techniques can be abused by malicious parties to transform their audios to sound like a target speaker, making it hard for a human being or a speaker verification/identification system to trace the source sp... | [] | Train |
26,109 | 16 | Title: ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System
Abstract: Existing deep video models are limited by specific tasks, fixed input-output spaces, and poor generalization capabilities, making it difficult to deploy them in real-world scenarios. In this paper, we present our vision f... | [
10624,
22114,
19747,
13700,
30950,
45452,
16685,
8558,
5361,
9810,
10897,
8084,
23570,
37778,
3609,
8767
] | Validation |
26,110 | 16 | Title: A Dual-level Detection Method for Video Copy Detection
Abstract: With the development of multimedia technology, Video Copy Detection has been a crucial problem for social media platforms. Meta AI hold Video Similarity Challenge on CVPR 2023 to push the technology forward. In this paper, we share our winner solut... | [
23417
] | Validation |
26,111 | 30 | Title: On the Generalization Ability of Retrieval-Enhanced Transformers
Abstract: Recent work on the Retrieval-Enhanced Transformer (RETRO) model has shown impressive results: off-loading memory from trainable weights to a retrieval database can significantly improve language modeling and match the performance of non-r... | [
1009,
10903
] | Train |
26,112 | 27 | Title: Map Point Selection for Visual SLAM
Abstract: nan | [] | Validation |
26,113 | 16 | Title: Self-Supervised Convolutional Visual Prompts
Abstract: Machine learning models often fail on out-of-distribution (OOD) samples. Visual prompts emerge as a light-weight adaptation method in input space for large-scale vision models. Existing vision prompts optimize a high-dimensional additive vector and require l... | [
43608,
31629
] | Train |
26,114 | 8 | Title: Metamobility: Connecting Future Mobility with Metaverse
Abstract: A Metaverse is a perpetual, immersive, and shared digital universe that is linked to but beyond the physical reality, and this emerging technology is attracting enormous attention from different industries. In this article, we define the first hol... | [
39798
] | Train |
26,115 | 16 | Title: BokehOrNot: Transforming Bokeh Effect with Image Transformer and Lens Metadata Embedding
Abstract: Bokeh effect is an optical phenomenon that offers a pleasant visual experience, typically generated by high-end cameras with wide aperture lenses. The task of bokeh effect transformation aims to produce a desired e... | [
23912
] | Train |
26,116 | 24 | Title: StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes
Abstract: Optimization of atomic structures presents a challenging problem, due to their highly rough and non-convex energy landscape, with wide applications in the fields of drug design, materials discov... | [
5721
] | Train |
26,117 | 24 | Title: Encoding of data sets and algorithms
Abstract: In many high-impact applications, it is important to ensure the quality of output of a machine learning algorithm as well as its reliability in comparison with the complexity of the algorithm used. In this paper, we have initiated a mathematically rigorous theory to... | [] | Train |
26,118 | 23 | Title: A Meta-Summary of Challenges in Building Products with ML Components – Collecting Experiences from 4758+ Practitioners
Abstract: Incorporating machine learning (ML) components into software products raises new software-engineering challenges and exacerbates existing ones. Many researchers have invested significa... | [
43344,
34925
] | Test |
26,119 | 16 | Title: A Lightweight Transformer for Faster and Robust EBSD Data Collection
Abstract: Three dimensional electron back-scattered diffraction (EBSD) microscopy is a critical tool in many applications in materials science, yet its data quality can fluctuate greatly during the arduous collection process, particularly via s... | [
11929,
13700,
22470
] | Train |
26,120 | 36 | Title: Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
Abstract: The past decade has witnessed the flourishing of a new profession as media content creators, who rely on revenue streams from online content recommendation platforms. The reward mechanism employed by these platforms c... | [
5600
] | Validation |
26,121 | 30 | Title: PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives
Abstract: Sustaining coherent and engaging narratives requires dialogue or storytelling agents to understandhow the personas of speakers or listeners ground the narrative. Specifically, these agents must infer personas of their listener... | [] | Train |
26,122 | 4 | Title: Reliability Analysis of Vision Transformers
Abstract: Vision Transformers (ViTs) that leverage self-attention mechanism have shown superior performance on many classical vision tasks compared to convolutional neural networks (CNNs) and gain increasing popularity recently. Existing ViTs works mainly optimize perf... | [] | Test |
26,123 | 9 | Title: Diagnosis of Constant Faults in Switching Networks
Abstract: In this paper, we study decision trees for diagnosis of constant faults in switching networks. Each constant fault consists in assigning Boolean constants to some edges of the network instead of literals. The problem of diagnosis is to recognize the fu... | [] | Test |
26,124 | 24 | Title: Out-of-Domain Robustness via Targeted Augmentations
Abstract: Models trained on one set of domains often suffer performance drops on unseen domains, e.g., when wildlife monitoring models are deployed in new camera locations. In this work, we study principles for designing data augmentations for out-of-domain (OO... | [] | Train |
26,125 | 30 | Title: Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing
Abstract: Recent work has utilised knowledge-aware approaches to natural language understanding, question answering, recommendation systems, and other tasks. These approaches rely on well-constructed and large-scale ... | [] | Validation |
26,126 | 4 | Title: PURL: Safe and Effective Sanitization of Link Decoration
Abstract: While privacy-focused browsers have taken steps to block third-party cookies and browser fingerprinting, novel tracking methods that bypass existing defenses continue to emerge. Since trackers need to exfiltrate information from the client- to se... | [] | Validation |
26,127 | 16 | Title: CryoAlign: feature-based method for global and local 3D alignment of EM density maps
Abstract: Advances on cryo-electron imaging technologies have led to a rapidly increasing number of density maps. Alignment and comparison of density maps play a crucial role in interpreting structural information, such as confo... | [] | Test |
26,128 | 31 | Title: Web scraping: a promising tool for geographic data acquisition
Abstract: With much of our lives taking place online, researchers are increasingly turning to information from the World Wide Web to gain insights into geographic patterns and processes. Web scraping as an online data acquisition technique allows us ... | [] | Train |
26,129 | 30 | Title: SASS: Data and Methods for Subject Aware Sentence Simplification
Abstract: Sentence simplification tends to focus on the generic simplification of sentences by making them more readable and easier to understand. This paper provides a dataset aimed at training models that perform subject aware sentence simplifica... | [] | Test |
26,130 | 16 | Title: Dual Cross-Attention for Medical Image Segmentation
Abstract: We propose Dual Cross-Attention (DCA), a simple yet effective attention module that is able to enhance skip-connections in U-Net-based architectures for medical image segmentation. DCA addresses the semantic gap between encoder and decoder features by... | [] | Validation |
26,131 | 6 | Title: The Prompt Artists
Abstract: This paper examines the art practices, artwork, and motivations of prolific users of the latest generation of text-to-image models. Through interviews, observations, and a user survey, we present a sampling of the artistic styles and describe the developed community of practice aroun... | [
3120,
450
] | Train |
26,132 | 16 | Title: DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation
Abstract: Visual surveillance technology is an indispensable functional component of advanced traffic management systems. It has been applied to perform traffic supervision tasks, such as object dete... | [] | Train |
26,133 | 24 | Title: On Robust Numerical Solver for ODE via Self-Attention Mechanism
Abstract: With the development of deep learning techniques, AI-enhanced numerical solvers are expected to become a new paradigm for solving differential equations due to their versatility and effectiveness in alleviating the accuracy-speed trade-off... | [
9773
] | Train |
26,134 | 28 | Title: Deep Learning Empowered Type-II Codebook: New Paradigm for Enhancing CSI Feedback
Abstract: Deep learning based channel state information (CSI) feedback in frequency division duplex systems has drawn much attention in both academia and industry. In this paper, we focus on integrating the Type-II codebook in the ... | [] | Train |
26,135 | 30 | Title: A Personalized Utterance Style (PUS) based Dialogue Strategy for Efficient Service Requirement Elicitation
Abstract: With the flourish of services on the Internet, a prerequisite for service providers to precisely deliver services to their customers is to capture user requirements comprehensively, accurately, an... | [] | Validation |
26,136 | 21 | Title: Compression Performance Analysis of Different File Formats
Abstract: In data storage and transmission, file compression is a common technique for reducing the volume of data, reducing data storage space and transmission time and bandwidth. However, there are significant differences in the compression performance... | [] | Train |
26,137 | 16 | Title: Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection
Abstract: Unsupervised Domain Adaptation (UDA) technique has been explored in 3D cross-domain tasks recently. Though preliminary progress has been made, the performance gap between the UDA-based 3D model and the supervised one trained with full... | [
19800,
14062,
40999
] | Train |
26,138 | 4 | Title: Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection
Abstract: Malicious domain detection (MDD) is an open security challenge that aims to detect if an Internet domain is associated with cyber-attacks. Among many approaches to this problem, graph neural networks (GNNs) are deemed highly effe... | [
8009,
21105
] | Train |
26,139 | 24 | Title: Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning
Abstract: In Reinforcement Learning (RL), enhancing sample efficiency is crucial, particularly in scenarios when data acquisition is costly and risky. In principle, off-policy RL algorithms can improve sample efficiency by allowi... | [] | Train |
26,140 | 30 | Title: UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception Detection
Abstract: Verbal deception has been studied in psychology, forensics, and computational linguistics for a variety of reasons, like understanding behaviour patterns, identifying false testimonies, and detecting deception in online communica... | [] | Train |
26,141 | 16 | Title: Word level Bangla Sign Language Dataset for Continuous BSL Recognition
Abstract: An robust sign language recognition system can greatly alleviate communication barriers, particularly for people who struggle with verbal communication. This is crucial for human growth and progress as it enables the expression of t... | [] | Validation |
26,142 | 13 | Title: Sparse Coding in a Dual Memory System for Lifelong Learning
Abstract: Efficient continual learning in humans is enabled by a rich set of neurophysiological mechanisms and interactions between multiple memory systems. The brain efficiently encodes information in non-overlapping sparse codes, which facilitates the... | [] | Test |
26,143 | 16 | Title: For A More Comprehensive Evaluation of 6DoF Object Pose Tracking
Abstract: Previous evaluations on 6DoF object pose tracking have presented obvious limitations along with the development of this area. In particular, the evaluation protocols are not unified for different methods, the widely-used YCBV dataset cont... | [] | Train |
26,144 | 23 | Title: Lessons from the Long Tail: Analysing Unsafe Dependency Updates across Software Ecosystems
Abstract: A risk in adopting third-party dependencies into an application is their potential to serve as a doorway for malicious code to be injected (most often unknowingly). While many initiatives from both industry and r... | [] | Validation |
26,145 | 24 | Title: Squeezing Large-Scale Diffusion Models for Mobile
Abstract: The emergence of diffusion models has greatly broadened the scope of high-fidelity image synthesis, resulting in notable advancements in both practical implementation and academic research. With the active adoption of the model in various real-world app... | [
4481,
19585,
37098,
23563,
40785
] | Train |
26,146 | 25 | Title: Fine-grained Emotional Control of Text-To-Speech: Learning To Rank Inter- And Intra-Class Emotion Intensities
Abstract: State-of-the-art Text-To-Speech (TTS) models are capable of producing high-quality speech. The generated speech, however, is usually neutral in emotional expression, whereas very often one woul... | [] | Train |
26,147 | 16 | Title: Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review
Abstract: The remarkable performance of the Transformer architecture in natural language processing has recently also triggered broad interest in Computer Vision. Among other merits, Transformers are witnessed as capable of learn... | [
440,
12211,
30037,
4533
] | Train |
26,148 | 28 | Title: Single-Photon Counting Receivers for 6G Optical Wireless Communications
Abstract: Optical wireless communication (OWC) offers several complementary advantages to radio-frequency (RF) wireless networks such as its massive available spectrum; hence, it is widely anticipated that OWC will assume a pivotal role in t... | [] | Validation |
26,149 | 24 | Title: When Layers Play the Lottery, all Tickets Win at Initialization
Abstract: Pruning is a standard technique for reducing the computational cost of deep networks. Many advances in pruning leverage concepts from the Lottery Ticket Hypothesis (LTH). LTH reveals that inside a trained dense network exists sparse subnet... | [] | Train |
26,150 | 24 | Title: Graph Encoding and Neural Network Approaches for Volleyball Analytics: From Game Outcome to Individual Play Predictions
Abstract: This research aims to improve the accuracy of complex volleyball predictions and provide more meaningful insights to coaches and players. We introduce a specialized graph encoding tec... | [] | Train |
26,151 | 16 | Title: A Simple Attempt for 3D Occupancy Estimation in Autonomous Driving
Abstract: The task of estimating 3D occupancy from surrounding-view images is an exciting development in the field of autonomous driving, following the success of Bird's Eye View (BEV) perception. This task provides crucial 3D attributes of the d... | [
10240,
42472,
17612,
529,
9107,
24600,
40575
] | Validation |
26,152 | 24 | Title: HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting
Abstract: It is imperative to discern the relationships between multiple time series for accurate forecasting. In particular, for stock prices, components are often divided into groups with the same characteristics, and a... | [] | Test |
26,153 | 30 | Title: Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling
Abstract: We propose a cross-lingual neural codec language model, VALL-E X, for cross-lingual speech synthesis. Specifically, we extend VALL-E and train a multi-lingual conditional codec language model to predict the acoust... | [
45888,
18777,
22602,
37290,
11918,
8015,
21778,
7059,
11929,
27324,
6046,
43327
] | Train |
26,154 | 20 | Title: On Voronoi visibility maps of 1.5D terrains with multiple viewpoints
Abstract: Given an $n$-vertex 1.5D terrain $\T$ and a set $\A$ of $m<n$ viewpoints, the Voronoi visibility map $\vorvis(\T,\A)$ is a partitioning of $\T$ into regions such that each region is assigned to the closest (in Euclidean distance) visi... | [] | Train |
26,155 | 30 | Title: Rudolf Christoph Eucken at SemEval-2023 Task 4: An Ensemble Approach for Identifying Human Values from Arguments
Abstract: The subtle human values we acquire through life experiences govern our thoughts and gets reflected in our speech. It plays an integral part in capturing the essence of our individuality and ... | [
3496
] | Train |
26,156 | 24 | Title: Exploring Adversarial Attacks on Neural Networks: An Explainable Approach
Abstract: Deep Learning (DL) is being applied in various domains, especially in safety-critical applications such as autonomous driving. Consequently, it is of great significance to ensure the robustness of these methods and thus counterac... | [
2998
] | Train |
26,157 | 24 | Title: Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models
Abstract: Multimodal data, which can comprehensively perceive and recognize the physical world, has become an essential path towards general artificial intelligence. However, multimodal large models trained on public datasets often unde... | [
3400,
13564,
12142,
18391
] | Train |
26,158 | 24 | Title: Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Abstract: Imperfect score-matching leads to a shift between the training and the sampling distribution of diffusion models. Due to the recursive nature of the generation process, errors in previous steps yield sampling iterates t... | [
31393,
9059,
7875,
17734,
31943,
33150
] | Train |
26,159 | 10 | Title: DR-HAI: Argumentation-based Dialectical Reconciliation in Human-AI Interactions
Abstract: We introduce DR-HAI -- a novel argumentation-based framework designed to extend model reconciliation approaches, commonly used in explainable AI planning, for enhanced human-AI interaction. By adopting a multi-shot reconcil... | [] | Train |
26,160 | 3 | Title: Beyond Fish and Bicycles: Exploring the Varieties of Online Women’s Ideological Spaces
Abstract: The Internet has been instrumental in connecting under-represented and vulnerable groups of people. Platforms built to foster social interaction and engagement have enabled historically disenfranchised groups to have... | [
9551
] | Validation |
26,161 | 24 | Title: The Hydra Effect: Emergent Self-repair in Language Model Computations
Abstract: We investigate the internal structure of language model computations using causal analysis and demonstrate two motifs: (1) a form of adaptive computation where ablations of one attention layer of a language model cause another layer ... | [
30435,
13349,
7758,
29583,
4434,
38834,
45275
] | Train |
26,162 | 10 | Title: AgentSims: An Open-Source Sandbox for Large Language Model Evaluation
Abstract: With ChatGPT-like large language models (LLM) prevailing in the community, how to evaluate the ability of LLMs is an open question. Existing evaluation methods suffer from following shortcomings: (1) constrained evaluation abilities,... | [
770,
40610,
33477,
41350,
4071,
1575,
30087,
16556,
39576,
37742,
7695,
6328,
35545
] | Train |
26,163 | 31 | Title: Layout-aware Webpage Quality Assessment
Abstract: Identifying high-quality webpages is fundamental for real-world search engines, which can fulfil users' information need with the less cognitive burden. Early studies of \emph{webpage quality assessment} usually design hand-crafted features that may only work on ... | [
11137,
1522,
45261
] | Test |
26,164 | 16 | Title: WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
Abstract: Text-to-Image synthesis is the task of generating an image according to a specific text description. Generative Adversarial Networks have been considered the standard method for image synthesis virtually since their i... | [] | Train |
26,165 | 30 | Title: Traveling Words: A Geometric Interpretation of Transformers
Abstract: Transformers have significantly advanced the field of natural language processing, but comprehending their internal mechanisms remains a challenge. In this paper, we introduce a novel geometric perspective that elucidates the inner mechanisms ... | [
33220,
39628,
29396,
29911,
45275,
13564
] | Train |
26,166 | 38 | Title: A Case Study on Record Matching of Individuals in Historical Archives of Indigenous Databases
Abstract: Digitization of historical records has produced a significant amount of data for analysis and interpretation. A critical challenge is the ability to relate historical information across different archives to a... | [] | Train |
26,167 | 37 | Title: Data sharing and ontology use among agricultural genetics, genomics, and breeding databases and resources of the AgBioData Consortium
Abstract: Over the last several decades, there has been rapid growth in the number and scope of agricultural genetics, genomics and breeding (GGB) databases and resources. The AgB... | [] | Validation |
26,168 | 4 | Title: Understanding Cyber Threats Against the Universities, Colleges, and Schools
Abstract: Universities hold and process a vast amount of valuable user and research data. This makes them a prime target for cyber criminals. Additionally, universities and other educational settings, such as schools and college IT syste... | [] | Train |
26,169 | 2 | Title: Sound One-Phase Shape Analysis with Biabduction
Abstract: Biabduction-based shape analysis is a static analysis technique that can find bugs and ensure memory safety in the presence of complex, linked data structures. As such, this analysis has proven to be scalable and is implemented in state-of-the-art industr... | [
25450,
38605
] | Train |
26,170 | 24 | Title: A Unified Theory of Diversity in Ensemble Learning
Abstract: We present a theory of ensemble diversity, explaining the nature and effect of diversity for a wide range of supervised learning scenarios. This challenge, of understanding ensemble diversity, has been referred to as the “holy grail” of ensemble learnin... | [
22977,
27313,
1711
] | Train |
26,171 | 3 | Title: Piloting Virtual Reality Photo-Based Tours among Students of a Filipino Language Class: A Case of Emergency Remote Teaching in Japan
Abstract: The State of Emergency declaration in Japan due to the COVID-19 pandemic affected many aspects of society in the country, much like the rest of the world. One sector that... | [
9691
] | Train |
26,172 | 16 | Title: MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction
Abstract: Given a text query, the task of Natural Language Video Localization (NLVL) is to localize a temporal moment in an untrimmed video that semantically matches the query. In this paper, we adopt a proposal-based solution t... | [] | Train |
26,173 | 24 | Title: An Analysis of Multi-Agent Reinforcement Learning for Decentralized Inventory Control Systems
Abstract: Most solutions to the inventory management problem assume a centralization of information that is incompatible with organisational constraints in real supply chain networks. The inventory management problem is... | [] | Train |
26,174 | 24 | Title: Distilled Pruning: Using Synthetic Data to Win the Lottery
Abstract: This work introduces a novel approach to pruning deep learning models by using distilled data. Unlike conventional strategies which primarily focus on architectural or algorithmic optimization, our method reconsiders the role of data in these s... | [
5691,
10844
] | Train |
26,175 | 16 | Title: Automatic Localization and Detection Applicable to Robust Image Watermarking Resisting against Camera Shooting
Abstract: Robust image watermarking that can resist camera shooting has become an active research topic in recent years due to the increasing demand for preventing sensitive information displayed on com... | [] | Train |
26,176 | 28 | Title: On the Design of Artificial Noise for Physical Layer Security in Visible Light Communication Channels with Clipping
Abstract: Though visible light communication (VLC) systems are contained to a given room, improving their security is an important criterion in any practical deployment. In this paper, the design o... | [] | Validation |
26,177 | 35 | Title: Revitalising the Single Batch Environment: A 'Quest' to Achieve Fairness and Efficiency
Abstract: In the realm of computer systems, efficient utilisation of the CPU (Central Processing Unit) has always been a paramount concern. Researchers and engineers have long sought ways to optimise process execution on the ... | [] | Test |
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