node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
34,278 | 30 | Title: DS4DH at #SMM4H 2023: Zero-Shot Adverse Drug Events Normalization using Sentence Transformers and Reciprocal-Rank Fusion
Abstract: This paper outlines the performance evaluation of a system for adverse drug event normalization, developed by the Data Science for Digital Health group for the Social Media Mining fo... | [
39157
] | Test |
34,279 | 16 | Title: MetaUE: Model-based Meta-learning for Underwater Image Enhancement
Abstract: The challenges in recovering underwater images are the presence of diverse degradation factors and the lack of ground truth images. Although synthetic underwater image pairs can be used to overcome the problem of inadequately observing ... | [] | Train |
34,280 | 27 | Title: Time-Optimal Path Planning in a Constant Wind for Uncrewed Aerial Vehicles using Dubins Set Classification
Abstract: Time-optimal path planning in high winds for a turning rate constrained UAV is a challenging problem to solve and is important for deployment and field operations. Previous works have used trochoi... | [] | Train |
34,281 | 36 | Title: Truthful Interval Covering
Abstract: We initiate the study of a novel problem in mechanism design without money, which we term Truthful Interval Covering (TIC). An instance of TIC consists of a set of agents each associated with an individual interval on a line, and the objective is to decide where to place a co... | [] | Train |
34,282 | 16 | Title: Unsupervised bias discovery in medical image segmentation
Abstract: It has recently been shown that deep learning models for anatomical segmentation in medical images can exhibit biases against certain sub-populations defined in terms of protected attributes like sex or ethnicity. In this context, auditing fairn... | [] | Train |
34,283 | 10 | Title: Exploring Minecraft Settlement Generators with Generative Shift Analysis
Abstract: With growing interest in Procedural Content Generation (PCG) it becomes increasingly important to develop methods and tools for evaluating and comparing alternative systems. There is a particular lack regarding the evaluation of g... | [
35362
] | Train |
34,284 | 30 | Title: Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search
Abstract: In this paper, we present ISI-Clear, a state-of-the-art, cross-lingual, zero-shot event extraction system and accompanying user interface for event visualization & search. Using only English training data, ISI-Clear make... | [] | Validation |
34,285 | 24 | Title: Trace Encoding in Process Mining: a survey and benchmarking
Abstract: Encoding methods are employed across several process mining tasks, including predictive process monitoring, anomalous case detection, trace clustering, etc. These methods are usually performed as preprocessing steps and are responsible for tra... | [
27277
] | Train |
34,286 | 30 | Title: Prompt-Based Editing for Text Style Transfer
Abstract: Prompting approaches have been recently explored in text style transfer, where a textual prompt is used to query a pretrained language model to generate style-transferred texts word by word in an autoregressive manner. However, such a generation process is l... | [
19123
] | Train |
34,287 | 18 | Title: Toward a formal theory for computing machines made out of whatever physics offers
Abstract: nan | [
10494,
13174,
12949,
5510
] | Train |
34,288 | 34 | Title: Approximation Algorithms for the Graph Burning on Cactus and Directed Trees
Abstract: Given a graph $G=(V, E)$, the problem of Graph Burning is to find a sequence of nodes from $V$, called a burning sequence, to burn the whole graph. This is a discrete-step process, and at each step, an unburned vertex is select... | [] | Train |
34,289 | 16 | Title: Event Voxel Set Transformer for Spatiotemporal Representation Learning on Event Streams
Abstract: Event cameras are neuromorphic vision sensors representing visual information as sparse and asynchronous event streams. Most state-of-the-art event-based methods project events into dense frames and process them wit... | [
23280
] | Validation |
34,290 | 27 | Title: Event Camera and LiDAR based Human Tracking for Adverse Lighting Conditions in Subterranean Environments
Abstract: In this article, we propose a novel LiDAR and event camera fusion modality for subterranean (SubT) environments for fast and precise object and human detection in a wide variety of adverse lighting ... | [] | Test |
34,291 | 31 | Title: FARA: Future-aware Ranking Algorithm for Fairness Optimization
Abstract: Ranking systems are the key components of modern Information Retrieval (IR) applications, such as search engines and recommender systems. Besides the ranking relevance to users, the exposure fairness to item providers has also been consider... | [
36391,
36415
] | Train |
34,292 | 24 | Title: The Split Matters: Flat Minima Methods for Improving the Performance of GNNs
Abstract: nan | [] | Train |
34,293 | 10 | Title: A Deep RL Approach on Task Placement and Scaling of Edge Resources for Cellular Vehicle-to-Network Service Provisioning
Abstract: Cellular-Vehicle-to-Everything (C-V2X) is currently at the forefront of the digital transformation of our society. By enabling vehicles to communicate with each other and with the tra... | [
35288
] | Train |
34,294 | 30 | Title: Retrieval-augmented Multi-label Text Classification
Abstract: Multi-label text classification (MLC) is a challenging task in settings of large label sets, where label support follows a Zipfian distribution. In this paper, we address this problem through retrieval augmentation, aiming to improve the sample effici... | [
26922,
44642
] | Validation |
34,295 | 16 | Title: AutoFocusFormer: Image Segmentation off the Grid
Abstract: Real world images often have highly imbalanced content density. Some areas are very uniform, e.g., large patches of blue sky, while other areas are scattered with many small objects. Yet, the commonly used successive grid downsampling strategy in convolu... | [
23229
] | Test |
34,296 | 24 | Title: Calibrating Multimodal Learning
Abstract: Multimodal machine learning has achieved remarkable progress in a wide range of scenarios. However, the reliability of multimodal learning remains largely unexplored. In this paper, through extensive empirical studies, we identify current multimodal classification method... | [] | Validation |
34,297 | 13 | Title: Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems
Abstract: Locality is a crucial property for efficiently optimising black-box problems with randomized search heuristics. However, in practical applications, it is not likely to always find such a genotype encoding of ca... | [] | Train |
34,298 | 24 | Title: Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations
Abstract: This paper focuses on representation learning for dynamic graphs with temporal interactions. A fundamental issue is that both the graph structure and the nodes own their own dynamics, and their blending induces intractable ... | [] | Train |
34,299 | 27 | Title: Predicting Energy Consumption and Traversal Time of Ground Robots for Outdoor Navigation on Multiple Types of Terrain
Abstract: The outdoor navigation capabilities of ground robots have improved significantly in recent years, opening up new potential applications in a variety of settings. Cost-based representati... | [
16142
] | Train |
34,300 | 27 | Title: Control and Coordination of a SWARM of Unmanned Surface Vehicles using Deep Reinforcement Learning in ROS
Abstract: An unmanned surface vehicle (USV) can perform complex missions by continuously observing the state of its surroundings and taking action toward a goal. A SWARM of USVs working together can complete... | [] | Validation |
34,301 | 24 | Title: Statistically Valid Variable Importance Assessment through Conditional Permutations
Abstract: Variable importance assessment has become a crucial step in machine-learning applications when using complex learners, such as deep neural networks, on large-scale data. Removal-based importance assessment is currently ... | [] | Train |
34,302 | 27 | Title: Where to Drop Sensors from Aerial Robots to Monitor a Surface-Level Phenomenon?
Abstract: We consider the problem of routing a team of energy-constrained Unmanned Aerial Vehicles (UAVs) to drop unmovable sensors for monitoring a task area in the presence of stochastic wind disturbances. In prior work on mobile s... | [] | Validation |
34,303 | 16 | Title: Dense Network Expansion for Class Incremental Learning
Abstract: The problem of class incremental learning (CIL) is considered. State-of-the-art approaches use a dynamic architecture based on network expansion (NE), in which a task expert is added per task. While effective from a computational standpoint, these ... | [
14618,
11243,
26420
] | Test |
34,304 | 30 | Title: Evaluation of Automatically Constructed Word Meaning Explanations
Abstract: Preparing exact and comprehensive word meaning explanations is one of the key steps in the process of monolingual dictionary writing. In standard methodology, the explanations need an expert lexicographer who spends a substantial amount ... | [] | Train |
34,305 | 30 | Title: CCpdf: Building a High Quality Corpus for Visually Rich Documents from Web Crawl Data
Abstract: In recent years, the field of document understanding has progressed a lot. A significant part of this progress has been possible thanks to the use of language models pretrained on large amounts of documents. However, ... | [
35233
] | Test |
34,306 | 30 | Title: Neural Machine Translation For Low Resource Languages
Abstract: Neural Machine translation is a challenging task due to the inherent complex nature and the fluidity that natural languages bring. Nonetheless, in recent years, it has achieved state-of-the-art performance in several language pairs. Although, a lot ... | [] | Train |
34,307 | 24 | Title: LightPath: Lightweight and Scalable Path Representation Learning
Abstract: Movement paths are used widely in intelligent transportation and smart city applications. To serve such applications, path representation learning aims to provide compact representations of paths that enable efficient and accurate operati... | [
28249
] | Train |
34,308 | 16 | Title: Filter Pruning via Filters Similarity in Consecutive Layers
Abstract: Filter pruning is widely adopted to compress and accelerate the Convolutional Neural Networks (CNNs), but most previous works ignore the relationship between filters and channels in different layers. Processing each layer independently fails t... | [] | Train |
34,309 | 5 | Title: CarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-Efficiency
Abstract: Cloud platforms are increasingly emphasizing sustainable operations in order to reduce their operational carbon footprint. One approach for reducing emissions is to exploit the temporal flexibility inherent in many clou... | [
34961,
39698,
7487
] | Train |
34,310 | 28 | Title: Multiplexed Streaming Codes for Messages With Different Decoding Delays in Channel with Burst and Random Erasures
Abstract: In a real-time transmission scenario, messages are transmitted through a channel that is subject to packet loss. The destination must recover the messages within the required deadline. In t... | [] | Train |
34,311 | 16 | Title: Zero-Day Backdoor Attack against Text-to-Image Diffusion Models via Personalization
Abstract: Although recent personalization methods have democratized high-resolution image synthesis by enabling swift concept acquisition with minimal examples and lightweight computation, they also present an exploitable avenue ... | [
28513,
8547,
30643,
10070,
25368,
24763,
18205
] | Validation |
34,312 | 24 | Title: Generalization and Estimation Error Bounds for Model-based Neural Networks
Abstract: Model-based neural networks provide unparalleled performance for various tasks, such as sparse coding and compressed sensing problems. Due to the strong connection with the sensing model, these networks are interpretable and inh... | [
7028
] | Validation |
34,313 | 6 | Title: Examining the Effectiveness of Chatbots in Gathering Family History Information in Comparison to the Standard In-Person Interview-Based Approach
Abstract: One of the most common things that a genealogist is tasked with is the gathering of a person's initial family history, normally via in-person interviews or wi... | [] | Test |
34,314 | 16 | Title: LISA: Reasoning Segmentation via Large Language Model
Abstract: Although perception systems have made remarkable advancements in recent years, they still rely on explicit human instruction to identify the target objects or categories before executing visual recognition tasks. Such systems lack the ability to act... | [
10624,
17633,
37987,
8294,
22023,
21096,
34982,
6379,
1900,
1644,
27454,
41104,
15413,
3609,
31323,
381,
1854,
42270
] | Validation |
34,315 | 16 | Title: CatFLW: Cat Facial Landmarks in the Wild Dataset
Abstract: Animal affective computing is a quickly growing field of research, where only recently first efforts to go beyond animal tracking into recognizing their internal states, such as pain and emotions, have emerged. In most mammals, facial expressions are an ... | [] | Train |
34,316 | 30 | Title: Boosting Adverse Drug Event Normalization on Social Media: General-Purpose Model Initialization and Biomedical Semantic Text Similarity Benefit Zero-Shot Linking in Informal Contexts
Abstract: Biomedical entity linking, also known as biomedical concept normalization, has recently witnessed the rise to prominence... | [] | Train |
34,317 | 24 | Title: Restart Sampling for Improving Generative Processes
Abstract: Generative processes that involve solving differential equations, such as diffusion models, frequently necessitate balancing speed and quality. ODE-based samplers are fast but plateau in performance while SDE-based samplers deliver higher sample quali... | [
20624,
37545
] | Test |
34,318 | 26 | Title: Mainstream News Articles Co-Shared with Fake News Buttress Misinformation Narratives
Abstract: Most prior and current research examining misinformation spread on social media focuses on reports published by 'fake' news sources. These approaches fail to capture another potential form of misinformation with a much... | [
39680
] | Validation |
34,319 | 16 | Title: MSdocTr-Lite: A Lite Transformer for Full Page Multi-script Handwriting Recognition
Abstract: nan | [] | Validation |
34,320 | 24 | Title: Shapley Chains: Extending Shapley Values to Classifier Chains
Abstract: nan | [] | Train |
34,321 | 24 | Title: Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification
Abstract: In this paper we present a Twin Parametric-Margin Support Vector Machine (TPMSVM) model to tackle the problem of multiclass classification. In the spirit of one-versus-all paradigm, for each class we construct a classifi... | [] | Train |
34,322 | 24 | Title: Conditional Korhunen-Loéve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling
Abstract: We propose a methodology for improving the accuracy of surrogate models of the observable response of physical systems as a function of the systems' spatially... | [
30606
] | Train |
34,323 | 16 | Title: Object Preserving Siamese Network for Single Object Tracking on Point Clouds
Abstract: Obviously, the object is the key factor of the 3D single object tracking (SOT) task. However, previous Siamese-based trackers overlook the negative effects brought by randomly dropped object points during backbone sampling, wh... | [] | Test |
34,324 | 34 | Title: Uniform Generation of Temporal Graphs with Given Degrees
Abstract: Uniform sampling from the set $\mathcal{G}(\mathbf{d})$ of graphs with a given degree-sequence $\mathbf{d} = (d_1, \dots, d_n) \in \mathbb N^n$ is a classical problem in the study of random graphs. We consider an analogue for temporal graphs in w... | [] | Train |
34,325 | 24 | Title: A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation
Abstract: This paper proposes a novel approach to predict epidemiological parameters by integrating new real-time signals from various sources of information, such as novel social media-based p... | [] | Train |
34,326 | 10 | Title: PubGraph: A Large-Scale Scientific Knowledge Graph
Abstract: Research publications are the primary vehicle for sharing scientific progress in the form of new discoveries, methods, techniques, and insights. Unfortunately, the lack of a large-scale, comprehensive, and easy-to-use resource capturing the myriad rela... | [] | Train |
34,327 | 10 | Title: EVKG: An interlinked and interoperable electric vehicle knowledge graph for smart transportation system
Abstract: Over the past decade, the electric vehicle (EV) industry has experienced unprecedented growth and diversification, resulting in a complex ecosystem. To effectively manage this multifaceted field, we ... | [
11497,
6124,
36263
] | Train |
34,328 | 30 | Title: Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space
Abstract: The goal of this paper is to learn more about how idiomatic information is structurally encoded in embeddings, using a structural probing method. We repurpose an existing English verbal multi-word expressi... | [
4509
] | Validation |
34,329 | 10 | Title: DeepOnto: A Python Package for Ontology Engineering with Deep Learning
Abstract: Applying deep learning techniques, particularly language models (LMs), in ontology engineering has raised widespread attention. However, deep learning frameworks like PyTorch and Tensorflow are predominantly developed for Python pro... | [
30275,
13700,
13769,
32172,
45646,
9775,
1776,
29396,
14009,
4699
] | Validation |
34,330 | 10 | Title: Strategies to exploit XAI to improve classification systems
Abstract: Explainable Artificial Intelligence (XAI) aims to provide insights into the decision-making process of AI models, allowing users to understand their results beyond their decisions. A significant goal of XAI is to improve the performance of AI ... | [] | Test |
34,331 | 16 | Title: DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling
Abstract: We introduce DreamPaint, a framework to intelligently inpaint any e-commerce product on any user-provided context image. The context image can be, for example, the user's own image for virtual try-on of clothes f... | [] | Validation |
34,332 | 24 | Title: Prediction of Post-Operative Renal and Pulmonary Complications Using Transformers
Abstract: Postoperative complications pose a significant challenge in the healthcare industry, resulting in elevated healthcare expenses and prolonged hospital stays, and in rare instances, patient mortality. To improve patient out... | [] | Train |
34,333 | 16 | Title: Weakly-supervised ROI extraction method based on contrastive learning for remote sensing images
Abstract: ROI extraction is an active but challenging task in remote sensing because of the complicated landform, the complex boundaries and the requirement of annotations. Weakly supervised learning (WSL) aims at lea... | [] | Test |
34,334 | 16 | Title: Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs
Abstract: Immunohistochemical (IHC) staining highlights the molecular information critical to diagnostics in tissue samples. However, compared to H&E staining, IHC staining can be much more expen... | [] | Train |
34,335 | 16 | Title: Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model
Abstract: Objectives: Approximately 30% of non-metastatic anal squamous cell carcinoma (ASCC) patients will experience recurrence after chemoradiotherapy (CRT), and currently available c... | [] | Train |
34,336 | 23 | Title: Large Language Models in Fault Localisation
Abstract: Large Language Models (LLMs) have shown promise in multiple software engineering tasks including code generation, code summarisation, test generation and code repair. Fault localisation is essential for facilitating automatic program debugging and repair, and... | [
15047,
27880,
18411,
25227,
38543,
33210
] | Train |
34,337 | 16 | Title: A function space perspective on stochastic shape evolution
Abstract: Modelling randomness in shape data, for example, the evolution of shapes of organisms in biology, requires stochastic models of shapes. This paper presents a new stochastic shape model based on a description of shapes as functions in a Sobolev ... | [] | Train |
34,338 | 27 | Title: Neuromorphic Control using Input-Weighted Threshold Adaptation
Abstract: Neuromorphic processing promises high energy efficiency and rapid response rates, making it an ideal candidate for achieving autonomous flight of resource-constrained robots. It can be especially beneficial for complex neural networks as ar... | [
12230
] | Train |
34,339 | 30 | Title: Deductive Additivity for Planning of Natural Language Proofs
Abstract: Current natural language systems designed for multi-step claim validation typically operate in two phases: retrieve a set of relevant premise statements using heuristics (planning), then generate novel conclusions from those statements using ... | [
24760,
39889
] | Train |
34,340 | 16 | Title: DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
Abstract: Accurate, robust, and real-time LiDAR-based odometry (LO) is imperative for many applications like robot navigation, globally consistent 3D scene map reconstruction, or safe motion-planning. Though LiDAR sensor is known for its precis... | [] | Validation |
34,341 | 16 | Title: FunQA: Towards Surprising Video Comprehension
Abstract: Surprising videos, e.g., funny clips, creative performances, or visual illusions, attract significant attention. Enjoyment of these videos is not simply a response to visual stimuli; rather, it hinges on the human capacity to understand (and appreciate) com... | [] | Train |
34,342 | 24 | Title: A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization
Abstract: One of the most critical problems in machine learning is HyperParameter Optimization (HPO), since choice of hyperparameters has a significant impact on final model performance. Although there are many HPO algorithms, they either ha... | [
21652
] | Train |
34,343 | 10 | Title: Explainable AI is Dead, Long Live Explainable AI!: Hypothesis-driven Decision Support using Evaluative AI
Abstract: In this paper, we argue for a paradigm shift from the current model of explainable artificial intelligence (XAI), which may be counter-productive to better human decision making. In early decision ... | [
21217,
10180,
68,
34757,
29482,
41679,
10621,
43391
] | Test |
34,344 | 16 | Title: Vision-Based Cranberry Crop Ripening Assessment
Abstract: Agricultural domains are being transformed by recent advances in AI and computer vision that support quantitative visual evaluation. Using drone imaging, we develop a framework for characterizing the ripening process of cranberry crops. Our method consist... | [] | Test |
34,345 | 24 | Title: Attention-based Domain Adaptation Forecasting of Streamflow in Data Sparse Regions
Abstract: Streamflow forecasts are critical to guide water resource management, mitigate drought and flood effects, and develop climate-smart infrastructure and governance. Many global regions, however, have limited streamflow obs... | [] | Train |
34,346 | 24 | Title: The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
Abstract: The mechanisms behind the success of multi-view self-supervised learning (MVSSL) are not yet fully understood. Contrastive MVSSL methods have been studied through the lens of InfoNCE, a lower bound of the Mutual Information (... | [] | Train |
34,347 | 30 | Title: TIM: Teaching Large Language Models to Translate with Comparison
Abstract: Open-sourced large language models (LLMs) have demonstrated remarkable efficacy in various tasks with instruction tuning. However, these models can sometimes struggle with tasks that require more specialized knowledge such as translation.... | [
21956,
13700,
33220,
32744,
23883,
45879,
43641,
13053,
15358
] | Train |
34,348 | 30 | Title: NumHG: A Dataset for Number-Focused Headline Generation
Abstract: Headline generation, a key task in abstractive summarization, strives to condense a full-length article into a succinct, single line of text. Notably, while contemporary encoder-decoder models excel based on the ROUGE metric, they often falter whe... | [] | Train |
34,349 | 30 | Title: PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue
Abstract: Identifying relevant Persona or Knowledge for conversational systems is a critical component of grounded dialogue response generation. However, each grounding has been studied in isolation with more practical multi-context ta... | [] | Train |
34,350 | 27 | Title: Towards Practical Autonomous Flight Simulation for Flapping Wing Biomimetic Robots with Experimental Validation
Abstract: Tried-and-true flapping wing robot simulation is essential in developing flapping wing mechanisms and algorithms. This paper presents a novel application-oriented flapping wing platform, high... | [] | Train |
34,351 | 30 | Title: Diffusion Models for Non-autoregressive Text Generation: A Survey
Abstract: Non-autoregressive (NAR) text generation has attracted much attention in the field of natural language processing, which greatly reduces the inference latency but has to sacrifice the generation accuracy. Recently, diffusion models, a cl... | [
40192,
1603,
4039,
32266,
39759,
14514,
42972
] | Train |
34,352 | 28 | Title: Cooperative Data Collection With Multiple UAVs for Information Freshness in the Internet of Things
Abstract: Maintaining the freshness of information in the Internet of Things (IoT) is a critical yet challenging problem. In this paper, we study cooperative data collection using multiple Unmanned Aerial Vehicles ... | [] | Validation |
34,353 | 26 | Title: InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks
Abstract: As influencers play considerable roles in social media marketing, companies increase the budget for influencer marketing. Hiring effective influencers is crucial in social influencer marketing,... | [] | Train |
34,354 | 24 | Title: Cross-modal Contrastive Learning for Multimodal Fake News Detection
Abstract: Automatic detection of multimodal fake news has gained a widespread attention recently. Many existing approaches seek to fuse unimodal features to produce multimodal news representations. However, the potential of powerful cross-modal ... | [] | Train |
34,355 | 16 | Title: Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation
Abstract: Domain adaptive semantic segmentation aims to transfer knowledge from a labeled source domain to an unlabeled target domain. However, existing methods primarily focus on directly learning qualified target features, mak... | [
38360,
645,
22542,
26359
] | Validation |
34,356 | 16 | Title: Diffusion Models for Interferometric Satellite Aperture Radar
Abstract: Probabilistic Diffusion Models (PDMs) have recently emerged as a very promising class of generative models, achieving high performance in natural image generation. However, their performance relative to non-natural images, like radar-based s... | [
42100,
17285
] | Test |
34,357 | 16 | Title: Rethinking Multimodal Content Moderation from an Asymmetric Angle with Mixed-modality
Abstract: There is a rapidly growing need for multimodal content moderation (CM) as more and more content on social media is multimodal in nature. Existing unimodal CM systems may fail to catch harmful content that crosses moda... | [] | Train |
34,358 | 30 | Title: A Bi-directional Multi-hop Inference Model for Joint Dialog Sentiment Classification and Act Recognition
Abstract: The joint task of Dialog Sentiment Classification (DSC) and Act Recognition (DAR) aims to predict the sentiment label and act label for each utterance in a dialog simultaneously. However, current me... | [
16130,
29346,
19172,
17642,
4750,
39919,
24601,
31034,
8509
] | Train |
34,359 | 4 | Title: VCTP: A Verifiable Credential-Based Trust Propagation Protocol for Personal Issuers in Self-Sovereign Identity Platforms
Abstract: Self Sovereign Identity (SSI) is an emerging identity system that facilitates secure credential issuance and verification without placing trust in any centralised authority. To bypas... | [] | Train |
34,360 | 3 | Title: Blockchain-based Decentralized Co-governance: Innovations and Solutions for Sustainable Crowdfunding
Abstract: This thesis provides an in-depth exploration of the Decentralized Co-governance Crowdfunding (DCC) Ecosystem, a novel solution addressing prevailing challenges in conventional crowdfunding methods faced... | [] | Train |
34,361 | 30 | Title: The Role of Summarization in Generative Agents: A Preliminary Perspective
Abstract: Generative agents that simulate human society show tremendous potential for further research and practical applications. Specifically, the generative agent architecture comprising several meticulously designed modules constitutes... | [
40192,
33220,
21702,
16556,
3609,
35388
] | Train |
34,362 | 24 | Title: Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
Abstract: In a hyper-relational knowledge graph, a triplet can be associated with a set of qualifiers, where a qualifier is composed of a relation and an entity, providing auxiliary information for the triplet. While exist... | [
34041
] | Train |
34,363 | 25 | Title: Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers
Abstract: Continual learning involves training neural networks incrementally for new tasks while retaining the knowledge of previous tasks. However, efficiently fine-tuning the model for sequential tasks with minimal computational... | [] | Train |
34,364 | 30 | Title: Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence
Abstract: Real-world fact verification task aims to verify the factuality of a claim by retrieving evidence from the source document. The quality of the retrieved evidence plays an important role in claim verification. Ideal... | [
1326
] | Validation |
34,365 | 34 | Title: Optimal LZ-End Parsing is Hard
Abstract: LZ-End is a variant of the well-known Lempel-Ziv parsing family such that each phrase of the parsing has a previous occurrence, with the additional constraint that the previous occurrence must end at the end of a previous phrase. LZ-End was initially proposed as a greedy ... | [] | Train |
34,366 | 30 | Title: BERTTM: Leveraging Contextualized Word Embeddings from Pre-trained Language Models for Neural Topic Modeling
Abstract: With the development of neural topic models in recent years, topic modelling is playing an increasingly important role in natural language understanding. However, most existing topic models stil... | [] | Validation |
34,367 | 6 | Title: Leveraging Large Language Model and Story-Based Gamification in Intelligent Tutoring System to Scaffold Introductory Programming Courses: A Design-Based Research Study
Abstract: Programming skills are rapidly becoming essential for many educational paths and career opportunities. Yet, for many international stud... | [
31112,
38106,
36579
] | Validation |
34,368 | 28 | Title: Hardware-Impaired Rician-Faded Cell-Free Massive MIMO Systems With Channel Aging
Abstract: We study the impact of channel aging on the uplink of a cell-free (CF) massive multiple-input multiple-output (mMIMO) system by considering i) spatially-correlated Rician-faded channels; ii) hardware impairments at the acc... | [] | Validation |
34,369 | 24 | Title: Stabilized training of joint energy-based models and their practical applications
Abstract: The recently proposed Joint Energy-based Model (JEM) interprets discriminatively trained classifier $p(y|x)$ as an energy model, which is also trained as a generative model describing the distribution of the input observa... | [] | Train |
34,370 | 24 | Title: Neural operator for structural simulation and bridge health monitoring
Abstract: Infusing deep learning with structural engineering has received widespread attention for both forward problems (structural simulation) and inverse problems (structural health monitoring). Based on Fourier Neural Operator, this study... | [] | Train |
34,371 | 6 | Title: Digital citizen science for ethical surveillance of physical activity among youth: mobile ecological momentary assessments vs. retrospective recall
Abstract: Physical inactivity is the fourth leading risk factor of mortality globally. Hence, understanding the physical activity (PA) patterns of youth is essential... | [] | Train |
34,372 | 24 | Title: Adversarial training for tabular data with attack propagation
Abstract: Adversarial attacks are a major concern in security-centered applications, where malicious actors continuously try to mislead Machine Learning (ML) models into wrongly classifying fraudulent activity as legitimate, whereas system maintainers... | [] | Test |
34,373 | 24 | Title: SLaM: Student-Label Mixing for Distillation with Unlabeled Examples
Abstract: Knowledge distillation with unlabeled examples is a powerful training paradigm for generating compact and lightweight student models in applications where the amount of labeled data is limited but one has access to a large pool of unla... | [
31915
] | Validation |
34,374 | 4 | Title: Private and Collaborative Kaplan-Meier Estimators
Abstract: Kaplan-Meier estimators capture the survival behavior of a cohort. They are one of the key statistics in survival analysis. As with any estimator, they become more accurate in presence of larger datasets. This motivates multiple data holders to share th... | [
15495
] | Train |
34,375 | 8 | Title: Time-Sensitive Networking (TSN) for Industrial Automation: A Survey
Abstract: With the introduction of Cyber-Physical Systems (CPS) and Internet of Things (IoT) into industrial applications, industrial automation is undergoing tremendous change, especially with regard to improving efficiency and reducing the cos... | [
24575
] | Train |
34,376 | 37 | Title: A Step Toward Deep Online Aggregation
Abstract: For exploratory data analysis, it is often desirable to know what answers you are likely to get before actually obtaining those answers. This can potentially be achieved by designing systems to offer the estimates of a data operation result-say op(data)-earlier in ... | [
31921
] | Train |
34,377 | 16 | Title: MonoNext: A 3D Monocular Object Detection with ConvNext
Abstract: Autonomous driving perception tasks rely heavily on cameras as the primary sensor for Object Detection, Semantic Segmentation, Instance Segmentation, and Object Tracking. However, RGB images captured by cameras lack depth information, which poses ... | [] | Test |
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