node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
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|---|---|---|---|---|
17,978 | 1 | Title: Practical Analyses of How Common Social Media Platforms and Photo Storage Services Handle Uploaded Images
Abstract: The research done in this study has delved deeply into the changes made to digital images that are uploaded to three of the major social media platforms and image storage services in today's societ... | [] | Train |
17,979 | 31 | Title: Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation
Abstract: Sequential Recommender Systems (SRSs) aim to predict the next item that users will consume, by modeling the user interests within their item sequences. While most existing SRSs focus on a single type of user behavior, only a few pay ... | [] | Train |
17,980 | 24 | Title: Evaluating Superhuman Models with Consistency Checks
Abstract: If machine learning models were to achieve superhuman abilities at various reasoning or decision-making tasks, how would we go about evaluating such models, given that humans would necessarily be poor proxies for ground truth? In this paper, we propo... | [
13510,
17447,
28905,
35927,
44697,
20794
] | Validation |
17,981 | 27 | Title: GenAug: Retargeting behaviors to unseen situations via Generative Augmentation
Abstract: Robot learning methods have the potential for widespread generalization across tasks, environments, and objects. However, these methods require large diverse datasets that are expensive to collect in real-world robotics sett... | [
23968,
28356,
37477,
30726,
12841,
26059,
20971
] | Train |
17,982 | 31 | Title: RecBaselines2023: a new dataset for choosing baselines for recommender models
Abstract: The number of proposed recommender algorithms continues to grow. The authors propose new approaches and compare them with existing models, called baselines. Due to the large number of recommender models, it is difficult to es... | [] | Validation |
17,983 | 24 | Title: Nonparametric Iterative Machine Teaching
Abstract: In this paper, we consider the problem of Iterative Machine Teaching (IMT), where the teacher provides examples to the learner iteratively such that the learner can achieve fast convergence to a target model. However, existing IMT algorithms are solely based on ... | [] | Train |
17,984 | 34 | Title: Parameterized and Approximation Algorithms for the Maximum Bimodal Subgraph Problem
Abstract: A vertex of a plane digraph is bimodal if all its incoming edges (and hence all its outgoing edges) are consecutive in the cyclic order around it. A plane digraph is bimodal if all its vertices are bimodal. Bimodality i... | [] | Train |
17,985 | 30 | Title: minOffense: Inter-Agreement Hate Terms for Stable Rules, Concepts, Transitivities, and Lattices
Abstract: Hate speech classification has become an important problem due to the spread of hate speech on social media platforms. For a given set of Hate Terms lists (HTs-lists) and Hate Speech data (HS-data), it is ch... | [] | Validation |
17,986 | 27 | Title: Chemical Power for Swarms of Microscopic Robots in Blood Vessels
Abstract: Microscopic robots in the bloodstream could obtain power from fuel cells using glucose and oxygen. Previous studies of small numbers of such robots operating near each other showed how robots compete with their neighbors for oxygen. Howev... | [] | Train |
17,987 | 4 | Title: Access-based Lightweight Physical Layer Authentication for the Internet of Things Devices
Abstract: Physical-layer authentication is a popular alternative to the conventional key-based authentication for internet of things (IoT) devices due to their limited computational capacity and battery power. However, this... | [] | Train |
17,988 | 24 | Title: DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications
Abstract: Exploiting the recent advancements in artificial intelligence, showcased by ChatGPT and DALL-E, in real-world applications necessitates vast, domain-specific, and publicly accessible datasets. Unfortunately, the scarc... | [
5680,
30197
] | Train |
17,989 | 30 | Title: DiffuSum: Generation Enhanced Extractive Summarization with Diffusion
Abstract: Extractive summarization aims to form a summary by directly extracting sentences from the source document. Existing works mostly formulate it as a sequence labeling problem by making individual sentence label predictions. This paper ... | [
1603,
18441,
10317,
7055,
44729,
23765,
12601,
6075
] | Train |
17,990 | 24 | Title: Evaluating the Vulnerabilities in ML systems in terms of adversarial attacks
Abstract: There have been recent adversarial attacks that are difficult to find. These new adversarial attacks methods may pose challenges to current deep learning cyber defense systems and could influence the future defense of cyberatt... | [] | Test |
17,991 | 16 | Title: Text-Only Training for Visual Storytelling
Abstract: Visual storytelling aims to generate a narrative based on a sequence of images, necessitating both vision-language alignment and coherent story generation. Most existing solutions predominantly depend on paired image-text training data, which can be costly to ... | [
10624
] | Train |
17,992 | 24 | Title: Learning Robust Deep Equilibrium Models
Abstract: Deep equilibrium (DEQ) models have emerged as a promising class of implicit layer models in deep learning, which abandon traditional depth by solving for the fixed points of a single nonlinear layer. Despite their success, the stability of the fixed points for th... | [
45820
] | Train |
17,993 | 16 | Title: Unsupervised Domain Adaptation with Deep Neural-Network
Abstract: This report contributes to the field of unsupervised domain adaptation by providing an analysis of existing methods, introducing a new approach, and demonstrating the potential for improving visual recognition tasks across different domains. The r... | [] | Train |
17,994 | 30 | Title: Chinese Spelling Correction as Rephrasing Language Model
Abstract: This paper studies Chinese Spelling Correction (CSC), which aims to detect and correct potential spelling errors in a given sentence. Current state-of-the-art methods regard CSC as a sequence tagging task and fine-tune BERT-based models on senten... | [
18537,
33220,
13700,
32173
] | Train |
17,995 | 16 | Title: Motion-Based Sign Language Video Summarization using Curvature and Torsion
Abstract: An interesting problem in many video-based applications is the generation of short synopses by selecting the most informative frames, a procedure which is known as video summarization. For sign language videos the benefits of us... | [] | Train |
17,996 | 4 | Title: A Comprehensive Survey of Upgradeable Smart Contract Patterns
Abstract: In this work, we provide a comprehensive survey of smart contract upgradability patterns using proxies. A primary characteristic of smart contracts on the Ethereum blockchain is that they are immutable once implemented, no changes can be mad... | [
16922
] | Train |
17,997 | 24 | Title: Financial Time Series Forecasting using CNN and Transformer
Abstract: Time series forecasting is important across various domains for decision-making. In particular, financial time series such as stock prices can be hard to predict as it is difficult to model short-term and long-term temporal dependencies betwee... | [] | Validation |
17,998 | 16 | Title: Human Action Recognition in Still Images Using ConViT
Abstract: Understanding the relationship between different parts of the image plays a crucial role in many visual recognition tasks. Despite the fact that Convolutional Neural Networks (CNNs) have demonstrated impressive results in detecting single objects, t... | [] | Validation |
17,999 | 24 | Title: When does Privileged Information Explain Away Label Noise?
Abstract: Leveraging privileged information (PI), or features available during training but not at test time, has recently been shown to be an effective method for addressing label noise. However, the reasons for its effectiveness are not well understood... | [] | Train |
18,000 | 26 | Title: Privacy-Preserving Community Detection for Locally Distributed Multiple Networks
Abstract: Modern multi-layer networks are commonly stored and analyzed in a local and distributed fashion because of the privacy, ownership, and communication costs. The literature on the model-based statistical methods for communit... | [] | Test |
18,001 | 24 | Title: Learning Human-Compatible Representations for Case-Based Decision Support
Abstract: Algorithmic case-based decision support provides examples to help human make sense of predicted labels and aid human in decision-making tasks. Despite the promising performance of supervised learning, representations learned by s... | [
13918
] | Validation |
18,002 | 16 | Title: Graph-CoVis: GNN-based Multi-view Panorama Global Pose Estimation
Abstract: In this paper, we address the problem of wide-baseline camera pose estimation from a group of 360° panoramas under upright-camera assumption. Recent work has demonstrated the merit of deep-learning for end-to-end direct relative pose reg... | [] | Train |
18,003 | 16 | Title: Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models
Abstract: Large-scale image generation models, with impressive quality made possible by the vast amount of data available on the Internet, raise social concerns that these models may generate harmful or copyrighted content. The biase... | [
44741,
27301,
5932,
44177,
16284
] | Train |
18,004 | 23 | Title: Analysis of ChatGPT on Source Code
Abstract: This paper explores the use of Large Language Models (LLMs) and in particular ChatGPT in programming, source code analysis, and code generation. LLMs and ChatGPT are built using machine learning and artificial intelligence techniques, and they offer several benefits t... | [
30026,
25227,
44173,
39823,
11190,
4027
] | Train |
18,005 | 34 | Title: Online Vector Bin Packing and Hypergraph Coloring Illuminated: Simpler Proofs and New Connections
Abstract: This paper studies the online vector bin packing (OVBP) problem and the related problem of online hypergraph coloring (OHC). Firstly, we use a double counting argument to prove an upper bound of the compet... | [] | Test |
18,006 | 16 | Title: Towards Open-Vocabulary Video Instance Segmentation
Abstract: Video Instance Segmentation (VIS) aims at segmenting and categorizing objects in videos from a closed set of training categories, lacking the generalization ability to handle novel categories in real-world videos. To address this limitation, we make t... | [
8123
] | Train |
18,007 | 10 | Title: Building Cooperative Embodied Agents Modularly with Large Language Models
Abstract: Large Language Models (LLMs) have demonstrated impressive planning abilities in single-agent embodied tasks across various domains. However, their capacity for planning and communication in multi-agent cooperation remains unclear... | [
161,
18785,
30243,
37252,
33477,
40103,
28839,
7913,
16556,
111,
36563,
8084,
12411,
13564
] | Test |
18,008 | 24 | Title: Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data
Abstract: In some applications of reinforcement learning, a dataset of pre-collected experience is already available but it is also possible to acquire some additional online data to help improve the quality of the policy. H... | [
27979,
19867
] | Train |
18,009 | 30 | Title: Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations
Abstract: Vision-and-language (VL) models with separate encoders for each modality (e.g., CLIP) have become the go-to models for zero-shot image classification and image-text retrieval. The bulk of the evaluation of these mo... | [
10624,
35,
41187
] | Train |
18,010 | 16 | Title: Equivariant Multi-Modality Image Fusion
Abstract: Multi-modality image fusion is a technique used to combine information from different sensors or modalities, allowing the fused image to retain complementary features from each modality, such as functional highlights and texture details. However, effectively trai... | [
30667
] | Train |
18,011 | 33 | Title: Weighted Tree Automata with Constraints
Abstract: nan | [
8221
] | Test |
18,012 | 16 | Title: Analyzing the Internals of Neural Radiance Fields
Abstract: Modern Neural Radiance Fields (NeRFs) learn a mapping from position to volumetric density via proposal network samplers. In contrast to the coarse-to-fine sampling approach with two NeRFs, this offers significant potential for speedups using lower netwo... | [
39587,
19781,
28519
] | Train |
18,013 | 24 | Title: Doubly Robust Self-Training
Abstract: Self-training is an important technique for solving semi-supervised learning problems. It leverages unlabeled data by generating pseudo-labels and combining them with a limited labeled dataset for training. The effectiveness of self-training heavily relies on the accuracy of... | [
25376,
21197
] | Test |
18,014 | 30 | Title: OTIEA: Ontology-enhanced Triple Intrinsic-Correlation for Cross-lingual Entity Alignment
Abstract: Cross-lingual and cross-domain knowledge alignment without sufficient external resources is a fundamental and crucial task for fusing irregular data. As the element-wise fusion process aiming to discover equivalent... | [] | Train |
18,015 | 31 | Title: Personalized Federated Domain Adaptation for Item-to-Item Recommendation
Abstract: Item-to-Item (I2I) recommendation is an important function in most recommendation systems, which generates replacement or complement suggestions for a particular item based on its semantic similarities to other cataloged items. Gi... | [] | Train |
18,016 | 5 | Title: Self-stabilizing Byzantine-tolerant Recycling
Abstract: Numerous distributed applications, such as cloud computing and distributed ledgers, necessitate the system to invoke asynchronous consensus objects an unbounded number of times, where the completion of one consensus instance is followed by the invocation of... | [] | Validation |
18,017 | 24 | Title: Learning Reservoir Dynamics with Temporal Self-Modulation
Abstract: , | [] | Train |
18,018 | 27 | Title: Metric-Free Exploration for Topological Mapping by Task and Motion Imitation in Feature Space
Abstract: We propose DeepExplorer, a simple and lightweight metric-free exploration method for topological mapping of unknown environments. It performs task and motion planning (TAMP) entirely in image feature space. Th... | [] | Train |
18,019 | 16 | Title: Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model
Abstract: Tree canopy height is one of the most important indicators of forest biomass, productivity, and species diversity, but it is challenging to measure accurately from the ground and from space. Here, we used a U... | [
15553
] | Validation |
18,020 | 30 | Title: Taxonomy Expansion for Named Entity Recognition
Abstract: Training a Named Entity Recognition (NER) model often involves fixing a taxonomy of entity types. However, requirements evolve and we might need the NER model to recognize additional entity types. A simple approach is to re-annotate entire dataset with bo... | [] | Train |
18,021 | 18 | Title: Integrated Photonic Accelerator Based on Optical Spectrum Slicing for Convolutional Neural Networks
Abstract: In this work we numerically analyze a passive photonic integrated neuromorphic accelerator based on hardware-friendly optical spectrum slicing nodes. The proposed scheme can act as a fully analogue convo... | [] | Train |
18,022 | 24 | Title: Optimizing DDPM Sampling with Shortcut Fine-Tuning
Abstract: In this study, we propose Shortcut Fine-Tuning (SFT), a new approach for addressing the challenge of fast sampling of pretrained Denoising Diffusion Probabilistic Models (DDPMs). SFT advocates for the fine-tuning of DDPM samplers through the direct min... | [
40833,
43881,
32108,
6962,
40858
] | Train |
18,023 | 16 | Title: Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond
Abstract: Visual similarities discovery (VSD) is an important task with broad e-commerce applications. Given an image of a certain object, the goal of VSD is to retrieve images of different objects with high perc... | [
2319
] | Train |
18,024 | 4 | Title: Safeguarding Physical Sneaker Sale Through a Decentralized Medium
Abstract: Sneakers were designated as the most counterfeited fashion item online, with three times more risk in a trade than any other fashion purchase. As the market expands, the current sneaker scene displays several vulnerabilities and trust fl... | [] | Train |
18,025 | 16 | Title: Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation
Abstract: In this work, we present a robust approach for joint part and object segmentation. Specifically, we reformulate object and part segmentation as an optimization problem and build a hierarchical feature representatio... | [] | Train |
18,026 | 27 | Title: Multimodal Trajectory Prediction: A Survey
Abstract: Trajectory prediction is an important task to support safe and intelligent behaviours in autonomous systems. Many advanced approaches have been proposed over the years with improved spatial and temporal feature extraction. However, human behaviour is naturally... | [] | Validation |
18,027 | 26 | Title: Anomaly, reciprocity, and community detection in networks
Abstract: Anomaly detection algorithms are a valuable tool in network science for identifying unusual patterns in a network. These algorithms have numerous practical applications, including detecting fraud, identifying network security threats, and uncove... | [] | Train |
18,028 | 28 | Title: Integrated Sensing and Communications: Recent Advances and Ten Open Challenges
Abstract: It is anticipated that integrated sensing and communications (ISAC) would be one of the key enablers of next-generation wireless networks (such as beyond 5G (B5G) and 6G) for supporting a variety of emerging applications. In... | [] | Validation |
18,029 | 16 | Title: Noisy Correspondence Learning with Meta Similarity Correction
Abstract: Despite the success of multimodal learning in crossmodal retrieval task, the remarkable progress relies on the correct correspondence among multimedia data. However, collecting such ideal data is expensive and time-consuming. In practice, mo... | [
10759
] | Train |
18,030 | 24 | Title: Conformers are All You Need for Visual Speech Recogntion
Abstract: Visual speech recognition models extract visual features in a hierarchical manner. At the lower level, there is a visual front-end with a limited temporal receptive field that processes the raw pixels depicting the lips or faces. At the higher le... | [
8186,
38443,
35892
] | Validation |
18,031 | 3 | Title: Location-based Activity Behavior Deviation Detection for Nursing Home using IoT Devices
Abstract: With the advancement of the Internet of Things(IoT) and pervasive computing applications, it provides a better opportunity to understand the behavior of the aging population. However, in a nursing home scenario, com... | [] | Train |
18,032 | 16 | Title: StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos
Abstract: Instructional videos are an important resource to learn procedural tasks from human demonstrations. However, the instruction steps in such videos are typically short and sparse, with most of the video being irrelevant t... | [
45328
] | Train |
18,033 | 28 | Title: Low-complexity Resource Allocation for User Paired RSMA in Future 6G Wireless Networks
Abstract: Rate-splitting multiple access (RSMA) uplink requires optimization of decoding order and power allocation, while decoding order is a discrete variable, and it is very complex to find the optimal decoding order if the... | [] | Test |
18,034 | 23 | Title: Method Chaining Redux: An Empirical Study of Method Chaining in Java, Kotlin, and Python
Abstract: There are possible benefits and drawbacks to chaining methods together, as is often done in fluent APIs. A prior study investigated how Java developers chain methods in over 2.7k open-source projects. That study ob... | [] | Test |
18,035 | 30 | Title: Large Language Models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery
Abstract: Inferring over and extracting information from Large Language Models (LLMs) trained on a large corpus of scientific literature can potentially drive a new era in biomedical research, reducing the b... | [
13700,
15301,
38406,
19720,
43380,
23924
] | Train |
18,036 | 1 | Title: Video Quality Assessment with Texture Information Fusion for Streaming Applications
Abstract: The rise of video streaming applications has increased the demand for Video Quality Assessment (VQA). In 2016, Netflix introduced VMAF, a full reference VQA metric that strongly correlates with perceptual quality, but i... | [
42851,
31207
] | Train |
18,037 | 16 | Title: BEVTrack: A Simple Baseline for 3D Single Object Tracking in Birds's-Eye-View
Abstract: 3D single object tracking (SOT) in point clouds is still a challenging problem due to appearance variation, distractors, and high sparsity of point clouds. Notably, in autonomous driving scenarios, the target object typically... | [] | Validation |
18,038 | 16 | Title: Plug-and-Play Regulators for Image-Text Matching
Abstract: Exploiting fine-grained correspondence and visual-semantic alignments has shown great potential in image-text matching. Generally, recent approaches first employ a cross-modal attention unit to capture latent region-word interactions, and then integrate ... | [] | Train |
18,039 | 31 | Title: Measuring Item Global Residual Value for Fair Recommendation
Abstract: In the era of information explosion, numerous items emerge every day, especially in feed scenarios. Due to the limited system display slots and user browsing attention, various recommendation systems are designed not only to satisfy users' pe... | [] | Test |
18,040 | 27 | Title: VoxelMap++: Mergeable Voxel Mapping Method for Online LiDAR(-inertial) Odometry
Abstract: This paper presents VoxelMap++: a voxel mapping method with plane merging which can effectively improve the accuracy and efficiency of LiDAR(-inertial) based simultaneous localization and mapping (SLAM). This map is a colle... | [] | Validation |
18,041 | 30 | Title: Question Decomposition Improves the Faithfulness of Model-Generated Reasoning
Abstract: As large language models (LLMs) perform more difficult tasks, it becomes harder to verify the correctness and safety of their behavior. One approach to help with this issue is to prompt LLMs to externalize their reasoning, e.... | [
32966,
17715,
9907,
10165,
38391,
20794,
37310
] | Train |
18,042 | 16 | Title: Decom-CAM: Tell Me What You See, In Details! Feature-Level Interpretation via Decomposition Class Activation Map
Abstract: Interpretation of deep learning remains a very challenging problem. Although the Class Activation Map (CAM) is widely used to interpret deep model predictions by highlighting object location... | [] | Train |
18,043 | 4 | Title: Bitcoin Double-Spending Attack Detection using Graph Neural Network
Abstract: Bitcoin transactions include unspent transaction outputs (UTXOs) as their inputs and generate one or more newly owned UTXOs at specified addresses. Each U TXO can only be used as an input in a transaction once, and using it in two or m... | [] | Train |
18,044 | 24 | Title: Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
Abstract: Guided sampling is a vital approach for applying diffusion models in real-world tasks that embeds human-defined guidance during the sampling procedure. This paper considers a general setting where... | [
1603,
18822,
34215
] | Validation |
18,045 | 4 | Title: Conti Inc.: Understanding the Internal Discussions of a large Ransomware-as-a-Service Operator with Machine Learning
Abstract: Ransomware-as-a-service (RaaS) is increasing the scale and complexity of ransomware attacks. Understanding the internal operations behind RaaS has been a challenge due to the illegality ... | [] | Validation |
18,046 | 24 | Title: Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging
Abstract: Federated learning is a recent development in the machine learning area that allows a system of devices to train on one or more tasks without sharing their data to a single location or device. However, t... | [] | Train |
18,047 | 28 | Title: Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
Abstract: Federated learning (FL) enables edge devices to collaboratively train machine learning models, with model communication replacing direct data uploading. While over-the-air model aggregation improves communication efficienc... | [] | Train |
18,048 | 16 | Title: Dancing Avatar: Pose and Text-Guided Human Motion Videos Synthesis with Image Diffusion Model
Abstract: The rising demand for creating lifelike avatars in the digital realm has led to an increased need for generating high-quality human videos guided by textual descriptions and poses. We propose Dancing Avatar, d... | [
10624,
15809,
5186,
1860,
7078,
11655,
18731,
15983,
34074,
26429
] | Test |
18,049 | 16 | Title: Robot Localization and Mapping Final Report - Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry
Abstract: Visual odometry (VO) and SLAM have been using multi-view geometry via local structure from motion for decades. These methods have a slight disadvantage in challenging scenarios such as... | [] | Train |
18,050 | 27 | Title: Radar Odometry for Autonomous Ground Vehicles: A Survey of Methods and Datasets
Abstract: Radar odometry has been gaining attention in the last decade. It stands as one of the best solutions for robotic state estimation in unfavorable conditions; conditions where other interoceptive and exteroceptive sensors may... | [
13289
] | Train |
18,051 | 4 | Title: Compact: Approximating Complex Activation Functions for Secure Computation
Abstract: Secure multi-party computation (MPC) techniques can be used to provide data privacy when users query deep neural network (DNN) models hosted on a public cloud. State-of-the-art MPC techniques can be directly leveraged for DNN mo... | [
3365
] | Train |
18,052 | 10 | Title: PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs
Abstract: Temporal facts, the facts for characterizing events that hold in specific time periods, are attracting rising attention in the knowledge graph (KG) research communities. In terms of quality management,... | [] | Test |
18,053 | 30 | Title: CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models
Abstract: In this paper, we consider the challenge of summarizing patients medical progress notes in a limited data setting. For the Problem List Summarization (shared task 1A) at the BioNLP Workshop 2023, we demonstrate that ClinicalT5 fine-tun... | [
33776,
42908
] | Train |
18,054 | 27 | Title: Avian-Inspired Claws Enable Robot Perching and Walking
Abstract: Multimodal UAVs (Unmanned Aerial Vehicles) are rarely capable of more than two modalities, i.e., flying and walking or flying and perching. However, being able to fly, perch, and walk could further improve their usefulness by expanding their operat... | [] | Train |
18,055 | 31 | Title: UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems
Abstract: We present an extensible user simulation toolkit to facilitate automatic evaluation of conversational recommender systems. It builds on an established agenda-based approach and extends it with several novel elements... | [
9733,
17930,
2613
] | Test |
18,056 | 24 | Title: Enhanced Dengue Outbreak Prediction in Tamilnadu using Meteorological and Entomological data
Abstract: This paper focuses on studying the impact of climate data and vector larval indices on dengue outbreak. After a comparative study of the various LSTM models, Bidirectional Stacked LSTM network is selected to an... | [] | Train |
18,057 | 16 | Title: Human-Imperceptible Identification With Learnable Lensless Imaging
Abstract: Lensless imaging protects visual privacy by capturing heavily blurred images that are imperceptible for humans to recognize the subject but contain enough information for machines to infer information. Unfortunately, protecting visual p... | [] | Train |
18,058 | 16 | Title: Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
Abstract: Although supervised learning has been highly successful in improving the state-of-the-art in the domain of image-based computer vision in the past, the margin of improvement has diminished significantly i... | [
8164,
17318,
19787,
20349,
29167,
35060,
4349,
39167
] | Test |
18,059 | 30 | Title: Learning to Program with Natural Language
Abstract: Large Language Models (LLMs) have shown remarkable performance in various basic natural language tasks, which raises hope for achieving Artificial General Intelligence. For completing the complex task, we still need a program for the task first and then ask LLM... | [
12128,
19747,
33220,
13700,
8103,
1326,
7695,
44246,
25304,
3609,
634,
35580
] | Train |
18,060 | 10 | Title: Discovering Causality for Efficient Cooperation in Multi-Agent Environments
Abstract: In cooperative Multi-Agent Reinforcement Learning (MARL) agents are required to learn behaviours as a team to achieve a common goal. However, while learning a task, some agents may end up learning sub-optimal policies, not cont... | [] | Train |
18,061 | 28 | Title: Modular Polynomial Codes for Secure and Robust Distributed Matrix Multiplication
Abstract: We present Modular Polynomial (MP) Codes for Secure Distributed Matrix Multiplication (SDMM). The construction is based on the observation that one can decode certain proper subsets of the coefficients of a polynomial with... | [
43194,
40638
] | Validation |
18,062 | 6 | Title: Maybe, Maybe Not: A Survey on Uncertainty in Visualization
Abstract: Understanding and evaluating uncertainty play a key role in decision-making. When a viewer studies a visualization that demands inference, it is necessary that uncertainty is portrayed in it. This paper showcases the importance of representing ... | [] | Validation |
18,063 | 30 | Title: Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniques
Abstract: Social media platforms have revolutionized traditional communication techniques by enabling people globally to connect instantaneously, openly, and frequently. People use social media to share personal stories an... | [] | Validation |
18,064 | 27 | Title: Multimodal Zero-Shot Learning for Tactile Texture Recognition
Abstract: Tactile sensing plays an irreplaceable role in robotic material recognition. It enables robots to distinguish material properties such as their local geometry and textures, especially for materials like textiles. However, most tactile recogn... | [] | Test |
18,065 | 3 | Title: Fairness in AI and Its Long-Term Implications on Society
Abstract: Successful deployment of artificial intelligence (AI) in various settings has led to numerous positive outcomes for individuals and society. However, AI systems have also been shown to harm parts of the population due to biased predictions. AI fa... | [
20029,
33220,
13700,
45958,
14857,
27569,
27186,
40277,
30872,
34936,
1917
] | Test |
18,066 | 16 | Title: Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis
Abstract: The generation of high-quality images has become widely accessible and is a rapidly evolving process. As a result, anyone can generate images that are indistinguishable from real ones. This leads to a wide r... | [
33939
] | Train |
18,067 | 16 | Title: NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
Abstract: Geodesics are essential in many geometry processing applications. However, traditional algorithms for computing geodesic distances and paths on 3D mesh models are often inefficient and slow. This makes them impractical for sce... | [
10853
] | Train |
18,068 | 10 | Title: Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling
Abstract: Channel modelling is essential to designing modern wireless communication systems. The increasing complexity of channel modelling and the cost of collecting high-quality wireless channel data have become major challenges. In ... | [] | Test |
18,069 | 24 | Title: Symbolic Regression on FPGAs for Fast Machine Learning Inference
Abstract: The high-energy physics community is investigating the feasibility of deploying machine-learning-based solutions on Field-Programmable Gate Arrays (FPGAs) to improve physics sensitivity while meeting data processing latency limitations. I... | [] | Train |
18,070 | 16 | Title: DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer
Abstract: Most state-of-the-art instance segmentation methods rely on large amounts of pixel-precise ground-truth annotations for training, which are expensive to create. Interactive segmentation networks help generate su... | [
35286
] | Test |
18,071 | 16 | Title: HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer
Abstract: Visual localization is critical to many applications in computer vision and robotics. To address single-image RGB localization, state-of-the-art feature-based methods match local descriptors b... | [] | Train |
18,072 | 31 | Title: IR Models and the COVID-19 Pandemic: A Comparative Study of Performance and Challenges
Abstract: This research study investigates the efficiency of different information retrieval (IR) systems in accessing relevant information from the scientific literature during the COVID-19 pandemic. The study applies the TRE... | [] | Test |
18,073 | 4 | Title: One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training
Abstract: Deep neural networks (DNNs) are widely deployed on real-world devices. Concerns regarding their security have gained great attention from researchers. Recently, a new weight modification attack called bit flip attack (BFA) was prop... | [
34174
] | Test |
18,074 | 26 | Title: The Shapes of the Fourth Estate During the Pandemic: Profiling COVID-19 News Consumption in Eight Countries
Abstract: News media is often referred to as the Fourth Estate, a recognition of its political power. New understandings of how media shape political beliefs and influence collective behaviors are urgently... | [
7580,
11871
] | Train |
18,075 | 30 | Title: Nominal Topology for Data Languages
Abstract: We propose a novel topological perspective on data languages recognizable by orbit-finite nominal monoids. For this purpose, we introduce pro-orbit-finite nominal topological spaces. Assuming globally bounded support sizes, they coincide with nominal Stone spaces and... | [] | Train |
18,076 | 16 | Title: Efficient Context Integration through Factorized Pyramidal Learning for Ultra-Lightweight Semantic Segmentation
Abstract: Semantic segmentation is a pixel-level prediction task to classify each pixel of the input image. Deep learning models, such as convolutional neural networks (CNNs), have been extremely succe... | [] | Test |
18,077 | 27 | Title: More Than an Arm: Using a Manipulator as a Tail for Enhanced Stability in Legged Locomotion
Abstract: Is a manipulator on a legged robot a liability or an asset for locomotion? Prior works mainly designed specific controllers to account for the added payload and inertia from a manipulator. In contrast, biologica... | [
710
] | Test |
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