node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
42,978 | 16 | Title: SegForestNet: Spatial-Partitioning-Based Aerial Image Segmentation
Abstract: Aerial image analysis, specifically the semantic segmentation thereof, is the basis for applications such as automatically creating and updating maps, tracking city growth, or tracking deforestation. In true orthophotos, which are often... | [] | Validation |
42,979 | 24 | Title: CaptAinGlove: Capacitive and Inertial Fusion-Based Glove for Real-Time on Edge Hand Gesture Recognition for Drone Control
Abstract: We present CaptAinGlove, a textile-based, low-power (1.15Watts), privacy-conscious, real-time on-the-edge (RTE) glove-based solution with a tiny memory footprint (2MB), designed to ... | [] | Train |
42,980 | 30 | Title: The Dynamical Principles of Storytelling
Abstract: When considering the opening part of 1800 short stories, we find that the first dozen paragraphs of the average narrative follow an action principle as defined in arXiv:2309.06600. When the order of the paragraphs is shuffled, the average no longer exhibits this... | [] | Train |
42,981 | 16 | Title: High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net
Abstract: Shadows often occur when we capture the documents with casual equipment, which influences the visual quality and readability of the digital copies. Different from the algorithms for nat... | [] | Test |
42,982 | 16 | Title: StereoScene: BEV-Assisted Stereo Matching Empowers 3D Semantic Scene Completion
Abstract: 3D semantic scene completion (SSC) is an ill-posed task that requires inferring a dense 3D scene from incomplete observations. Previous methods either explicitly incorporate 3D geometric input or rely on learnt 3D prior beh... | [
17612,
17887
] | Train |
42,983 | 16 | Title: A Survey on Multimodal Large Language Models
Abstract: Multimodal Large Language Model (MLLM) recently has been a new rising research hotspot, which uses powerful Large Language Models (LLMs) as a brain to perform multimodal tasks. The surprising emergent capabilities of MLLM, such as writing stories based on im... | [
10624,
8707,
13700,
37765,
22023,
25226,
26380,
3853,
15632,
41104,
27282,
7833,
3609,
4251,
13978,
30745,
18079,
22432,
13345,
28450,
4643,
16676,
32034,
16685,
23854,
29999,
45616,
6963,
7732,
10163,
9014,
15413,
19066,
42679,
45242,
45116,
4... | Train |
42,984 | 34 | Title: Parallel RAM from Cyclic Circuits
Abstract: Known simulations of random access machines (RAMs) or parallel RAMs (PRAMs) by Boolean circuits incur significant polynomial blowup, due to the need to repeatedly simulate accesses to a large main memory. Consider two modifications to Boolean circuits: (1) remove the r... | [] | Train |
42,985 | 24 | Title: Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks
Abstract: Deep learning models achieve excellent performance in numerous machine learning tasks. Yet, they suffer from security-related issues such as adversarial examples and poisoning (backdoor) attacks. A deep learning... | [] | Validation |
42,986 | 16 | Title: Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding
Abstract: Open-world instance-level scene understanding aims to locate and recognize unseen object categories that are not present in the annotated dataset. This task is challenging because the model needs to both localize novel 3D objects... | [
7776,
37254,
6379,
28652,
22222,
22767
] | Test |
42,987 | 6 | Title: "I am the follower, also the boss": Exploring Different Levels of Autonomy and Machine Forms of Guiding Robots for the Visually Impaired
Abstract: Guiding robots, in the form of canes or cars, have recently been explored to assist blind and low vision (BLV) people. Such robots can provide full or partial autonom... | [
21816,
10561
] | Train |
42,988 | 26 | Title: Score and Rank Semi-Monotonicity for Closeness, Betweenness and Harmonic Centrality
Abstract: In the study of the behavior of centrality measures with respect to network modifications, score monotonicity means that adding an arc increases the centrality score of the target of the arc; rank monotonicity means tha... | [] | Test |
42,989 | 16 | Title: Exploring the Role of Explainability in AI-Assisted Embryo Selection
Abstract: In Vitro Fertilization is among the most widespread treatments for infertility. One of its main challenges is the evaluation and selection of embryo for implantation, a process with large inter- and intra-clinician variability. Deep l... | [] | Validation |
42,990 | 24 | Title: DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks
Abstract: Uncovering rationales behind predictions of graph neural networks (GNNs) has received increasing attention over the years. Existing literature mainly focus on selecting a subgraph, through combinatorial optimization, to provide faithfu... | [
34887,
12943,
7862,
13656,
44985
] | Test |
42,991 | 30 | Title: LLM-Mini-CEX: Automatic Evaluation of Large Language Model for Diagnostic Conversation
Abstract: There is an increasing interest in developing LLMs for medical diagnosis to improve diagnosis efficiency. Despite their alluring technological potential, there is no unified and comprehensive evaluation criterion, le... | [
33220,
41350,
37360,
24440,
9403
] | Test |
42,992 | 4 | Title: Exploiting Input Sanitization for Regex Denial of Service
Abstract: Web services use server-side input sanitization to guard against harmful input. Some web services publish their sanitization logic to make their client interface more usable, e.g., allowing clients to debug invalid requests locally. However, thi... | [
25000
] | Train |
42,993 | 30 | Title: Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding
Abstract: This work aims at decreasing the end-to-end generation latency of large language models (LLMs). One of the major causes of the high generation latency is the sequential decoding approach adopted by almost all state-of-the-art LLMs. In ... | [
13700,
33220,
42756,
5649,
43641,
6453,
7351,
31256,
40953,
9403,
28606
] | Train |
42,994 | 24 | Title: Functional approach for Two Way Dimension Reduction in Time Series
Abstract: The rise in data has led to the need for dimension reduction techniques, especially in the area of non-scalar variables, including time series, natural language processing, and computer vision. In this paper, we specifically investigate... | [] | Train |
42,995 | 27 | Title: Doppler-aware Odometry from FMCW Scanning Radar
Abstract: This work explores Doppler information from a millimetre-Wave (mm-W) Frequency-Modulated Continuous-Wave (FMCW) scanning radar to make odometry estimation more robust and accurate. Firstly, doppler information is added to the scan masking process to enhan... | [
38472
] | Train |
42,996 | 24 | Title: Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning
Abstract: The continuous thriving of the Blockchain society motivates research in novel designs of schemes supporting cryptocurrencies. Previously multiple Proof-of-Deep-Learning(PoDL) consensuses have been proposed... | [] | Train |
42,997 | 6 | Title: Is embodied interaction beneficial? A study on navigating network visualizations
Abstract: Network visualizations are commonly used to analyze relationships in various contexts, such as social, biological, and geographical interactions. To efficiently explore a network visualization, the user needs to quickly na... | [
14264,
32379
] | Train |
42,998 | 16 | Title: Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification
Abstract: To address the challenges of long-tailed classification, researchers have proposed several approaches to reduce model bias, most of which assume that classes with few samples are weak classes. However, recent studies have shown... | [
33523
] | Validation |
42,999 | 24 | Title: Constant Memory Attentive Neural Processes
Abstract: Neural Processes (NPs) are efficient methods for estimating predictive uncertainties. NPs comprise of a conditioning phase where a context dataset is encoded, a querying phase where the model makes predictions using the context dataset encoding, and an updatin... | [
13451
] | Train |
43,000 | 30 | Title: A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems
Abstract: Conversational recommender systems (CRS) generate recommendations through an interactive process. However, not all CRS approaches use human conversations as their source of interaction data; the ... | [
33697,
9518,
5744,
10676,
17558,
4252
] | Train |
43,001 | 27 | Title: The OpenCDA Open-Source Ecosystem for Cooperative Driving Automation Research
Abstract: Advances in Single-vehicle intelligence of automated driving has encountered great challenges because of limited capabilities in perception and interaction with complex traffic environments. Cooperative Driving Automation (CD... | [
1953,
34088,
42506,
18544,
5654,
10265,
8700,
18974,
29983
] | Test |
43,002 | 30 | Title: VBD-MT Chinese-Vietnamese Translation Systems for VLSP 2022
Abstract: We present our systems participated in the VLSP 2022 machine translation shared task. In the shared task this year, we participated in both translation tasks, i.e., Chinese-Vietnamese and Vietnamese-Chinese translations. We build our systems b... | [] | Train |
43,003 | 23 | Title: Efficient Mutation Testing via Pre-Trained Language Models
Abstract: —Mutation testing is an established fault-based testing technique. It operates by seeding faults into the programs under test and asking developers to write tests that reveal these faults. These tests have the potential to reveal a large number... | [
22097
] | Train |
43,004 | 16 | Title: Edit Everything: A Text-Guided Generative System for Images Editing
Abstract: We introduce a new generative system called Edit Everything, which can take image and text inputs and produce image outputs. Edit Everything allows users to edit images using simple text instructions. Our system designs prompts to guid... | [
12518,
7078,
25673,
35263,
8051,
8919,
34074,
37405,
1151
] | Train |
43,005 | 7 | Title: Inverse designing surface curvatures by deep learning
Abstract: Smooth and curved microstructural topologies found in nature - from soap films to trabecular bone - have inspired several mimetic design spaces for architected metamaterials and bio-scaffolds. However, the design approaches so far have been ad hoc, ... | [
45817
] | Test |
43,006 | 16 | Title: Efficient Pyramid Channel Attention Network for Pathological Myopia Detection
Abstract: Pathological myopia (PM) is the leading ocular disease for impaired vision and blindness worldwide. The key to detecting PM as early as possible is to detect informative features in global and local lesion regions, such as fu... | [
32423
] | Test |
43,007 | 24 | Title: SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning
Abstract: SecureBoost is a tree-boosting algorithm leveraging homomorphic encryption to protect data privacy in vertical federated learning setting. It is widely used in fields such as finance and healthcare due to its interpretability, eff... | [
28226,
45124
] | Train |
43,008 | 10 | Title: Text2shape Deep Retrieval Model: Generating Initial Cases for Mechanical Part Redesign under the Context of Case-Based Reasoning
Abstract: Retrieving the similar solutions from the historical case base for new design requirements is the first step in mechanical part redesign under the context of case-based reaso... | [] | Train |
43,009 | 16 | Title: UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation
Abstract: Multiple Object Tracking (MOT) aims to find bounding boxes and identities of targeted objects in consecutive video frames. While fully-supervised MOT methods have achieved high accuracy on existing datase... | [
9419
] | Train |
43,010 | 31 | Title: ReCon: Reducing Congestion in Job Recommendation using Optimal Transport
Abstract: Recommender systems may suffer from congestion, meaning that there is an unequal distribution of the items in how often they are recommended. Some items may be recommended much more than others. Recommenders are increasingly used ... | [] | Test |
43,011 | 13 | Title: Beyond Multilayer Perceptrons: Investigating Complex Topologies in Neural Networks
Abstract: In this study, we explore the impact of network topology on the approximation capabilities of artificial neural networks (ANNs), with a particular focus on complex topologies. We propose a novel methodology for construct... | [] | Validation |
43,012 | 6 | Title: MetaExplorer : Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis
Abstract: Scientists often use meta-analysis to characterize the impact of an intervention on some outcome of interest across a body of literature. However, threats to the utility and validity of meta-analytic estimates arise when ... | [] | Train |
43,013 | 10 | Title: Experience and prediction: a metric of hardness for a novel litmus test
Abstract:
In the past decade, the Winograd schema challenge (WSC) has become a central aspect of the research community as a novel litmus test. Consequently, the WSC has spurred research interest because it can be seen as the means to unde... | [
3980
] | Train |
43,014 | 24 | Title: EarthPT: a foundation model for Earth Observation
Abstract: We introduce EarthPT -- an Earth Observation (EO) pretrained transformer. EarthPT is a 700 million parameter decoding transformer foundation model trained in an autoregressive self-supervised manner and developed specifically with EO use-cases in mind. ... | [
45695,
43641,
33220,
3471
] | Test |
43,015 | 10 | Title: VMCDL: Vulnerability Mining Based on Cascaded Deep Learning Under Source Control Flow
Abstract: With the rapid development of the computer industry and computer software, the risk of software vulnerabilities being exploited has greatly increased. However, there are still many shortcomings in the existing mining ... | [] | Train |
43,016 | 27 | Title: DribbleBot: Dynamic Legged Manipulation in the Wild
Abstract: DribbleBot (Dexterous Ball Manipulation with a Legged Robot) is a legged robotic system that can dribble a soccer ball under the same real-world conditions as humans. We identify key challenges of in-the-wild soccer ball manipulation, including variab... | [
7144,
710,
10943
] | Train |
43,017 | 5 | Title: Towards Exascale Computation for Turbomachinery Flows
Abstract: A state-of-the-art large eddy simulation code has been developed to solve compressible flows in turbomachinery. The code has been engineered with a high degree of scalability, enabling it to effectively leverage the many-core architecture of the new... | [] | Train |
43,018 | 16 | Title: SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detection
Abstract: Synthetic datasets, recognized for their cost effectiveness, play a pivotal role in advancing computer vision tasks and techniques. However, when it comes to remote sensing image processing, the creation o... | [] | Test |
43,019 | 30 | Title: Zero and Few-shot Semantic Parsing with Ambiguous Inputs
Abstract: Despite the ubiquity of ambiguity in natural language, it is often ignored or deliberately removed in semantic parsing tasks, which generally assume that a given surface form has only one correct logical form. We attempt to address this shortcomi... | [
7936,
24033,
13700,
5196,
30029,
4340,
634
] | Train |
43,020 | 16 | Title: On the Importance of Spatial Relations for Few-shot Action Recognition
Abstract: Deep learning has achieved great success in video recognition, yet still struggles to recognize novel actions when faced with only a few examples. To tackle this challenge, few-shot action recognition methods have been proposed to t... | [] | Validation |
43,021 | 16 | Title: Vision Based Machine Learning Algorithms for Out-of-Distribution Generalisation
Abstract: There are many computer vision applications including object segmentation, classification, object detection, and reconstruction for which machine learning (ML) shows state-of-the-art performance. Nowadays, we can build ML t... | [
31248,
7275
] | Train |
43,022 | 34 | Title: A Tight Competitive Ratio for Online Submodular Welfare Maximization
Abstract: In this paper we consider the online Submodular Welfare (SW) problem. In this problem we are given $n$ bidders each equipped with a general (not necessarily monotone) submodular utility and $m$ items that arrive online. The goal is to... | [] | Train |
43,023 | 16 | Title: ChartDETR: A Multi-shape Detection Network for Visual Chart Recognition
Abstract: Visual chart recognition systems are gaining increasing attention due to the growing demand for automatically identifying table headers and values from chart images. Current methods rely on keypoint detection to estimate data eleme... | [] | Train |
43,024 | 16 | Title: SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models
Abstract: Interpreting remote sensing imagery enables numerous downstream applications ranging from land-use planning to deforestation monitoring. Robustly classifying this data is challenging due to the Earth's geogra... | [
10624,
26498
] | Train |
43,025 | 38 | Title: FAIR EVA: Bringing institutional multidisciplinary repositories into the FAIR picture
Abstract: The FAIR Principles are a set of good practices to improve the reproducibility and quality of data in an Open Science context. Different sets of indicators have been proposed to evaluate the FAIRness of digital object... | [] | Validation |
43,026 | 6 | Title: Investigating the Impact of a Dual Musical Brain-Computer Interface on Interpersonal Synchrony: A Pilot Study
Abstract: This study looked into how effective a Musical Brain-Computer Interface (MBCI) can be in providing feedback about synchrony between two people. Using a double EEG setup, we compared two types o... | [] | Train |
43,027 | 34 | Title: Fast Sampling of b-Matchings and b-Edge Covers
Abstract: For an integer $b \ge 1$, a $b$-matching (resp. $b$-edge cover) of a graph $G=(V,E)$ is a subset $S\subseteq E$ of edges such that every vertex is incident with at most (resp. at least) $b$ edges from $S$. We prove that for any $b \ge 1$ the simple Glauber... | [
9762,
41246
] | Train |
43,028 | 16 | Title: VMCML: Video and Music Matching via Cross-Modality Lifting
Abstract: We propose a content-based system for matching video and background music. The system aims to address the challenges in music recommendation for new users or new music give short-form videos. To this end, we propose a cross-modal framework VMCM... | [] | Train |
43,029 | 10 | Title: Enhancing Trust in LLM-Based AI Automation Agents: New Considerations and Future Challenges
Abstract: Trust in AI agents has been extensively studied in the literature, resulting in significant advancements in our understanding of this field. However, the rapid advancements in Large Language Models (LLMs) and th... | [
33477
] | Train |
43,030 | 16 | Title: Facial recognition technology can expose political orientation from facial images even when controlling for demographics and self-presentation
Abstract: A facial recognition algorithm was used to extract face descriptors from carefully standardized images of 591 neutral faces taken in the laboratory setting. Fac... | [] | Train |
43,031 | 16 | Title: Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Abstract: Real-world application of chest X-ray abnormality classification requires dealing with several challenges: (i) limited training data; (ii) training and evaluation sets that are derived from different domains; and (iii) classes that... | [] | Train |
43,032 | 16 | Title: Central Similarity Multi-View Hashing for Multimedia Retrieval
Abstract: Hash representation learning of multi-view heterogeneous data is the key to improving the accuracy of multimedia retrieval. However, existing methods utilize local similarity and fall short of deeply fusing the multi-view features, resultin... | [
5082
] | Train |
43,033 | 24 | Title: Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios
Abstract: Federated learning (FL) naturally faces the problem of data heterogeneity in real-world scenarios, but this is often overlooked by studies on FL security and privacy. On the one hand, the effectiveness of... | [] | Train |
43,034 | 27 | Title: Multi-level decision framework collision avoidance algorithm in emergency scenarios
Abstract: With the rapid development of autonomous driving, the attention of academia has increasingly focused on the development of anti-collision systems in emergency scenarios, which have a crucial impact on driving safety. Wh... | [
44160,
8257,
18974
] | Validation |
43,035 | 16 | Title: Learning Trajectory-Word Alignments for Video-Language Tasks
Abstract: In a video, an object usually appears as the trajectory, i.e., it spans over a few spatial but longer temporal patches, that contains abundant spatiotemporal contexts. However, modern Video-Language BERTs (VDL-BERTs) neglect this trajectory c... | [
42749
] | Test |
43,036 | 16 | Title: Age Prediction From Face Images Via Contrastive Learning
Abstract: This paper presents a novel approach for accurately estimating age from face images, which overcomes the challenge of collecting a large dataset of individuals with the same identity at different ages. Instead, we leverage readily available face ... | [] | Train |
43,037 | 24 | Title: Robustness of Utilizing Feedback in Embodied Visual Navigation
Abstract: This paper presents a framework for training an agent to actively request help in object-goal navigation tasks, with feedback indicating the location of the target object in its field of view. To make the agent more robust in scenarios wher... | [] | Train |
43,038 | 16 | Title: A Foundation LAnguage-Image model of the Retina (FLAIR): Encoding expert knowledge in text supervision
Abstract: Foundation vision-language models are currently transforming computer vision, and are on the rise in medical imaging fueled by their very promising generalization capabilities. However, the initial at... | [
27305,
5852,
8719
] | Train |
43,039 | 24 | Title: Model Sparsity Can Simplify Machine Unlearning
Abstract: In response to recent data regulation requirements, machine unlearning (MU) has emerged as a critical process to remove the influence of specific examples from a given model. Although exact unlearning can be achieved through complete model retraining using... | [
44741,
5932,
3349,
45143,
857
] | Test |
43,040 | 24 | Title: Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits
Abstract: Motivated by concerns about making online decisions that incur undue amount of risk at each time step, in this paper, we formulate the probably anytime-safe stochastic combinatorial semi-bandits problem. In this problem, the agent is given the... | [] | Train |
43,041 | 6 | Title: Average Estimates in Line Graphs Are Biased Toward Areas of Higher Variability
Abstract: We investigate variability overweighting, a previously undocumented bias in line graphs, where estimates of average value are biased toward areas of higher variability in that line. We found this effect across two preregiste... | [] | Train |
43,042 | 16 | Title: Improving Scene Graph Generation with Superpixel-Based Interaction Learning
Abstract: Recent advances in Scene Graph Generation (SGG) typically model the relationships among entities utilizing box-level features from pre-defined detectors. We argue that an overlooked problem in SGG is the coarse-grained interact... | [
30784,
33984,
21346,
14435,
34145,
44260,
35947,
15504,
31634,
25950
] | Test |
43,043 | 6 | Title: Cognitive and Physical Activities Impair Perception of Smartphone Vibrations
Abstract: Vibration feedback is common in everyday devices, from virtual reality systems to smartphones. However, cognitive and physical activities may impede our ability to sense vibrations from devices. In this study, we develop and c... | [] | Train |
43,044 | 23 | Title: Discriminating Human-authored from ChatGPT-Generated Code Via Discernable Feature Analysis
Abstract: The ubiquitous adoption of Large Language Generation Models (LLMs) in programming has underscored the importance of differentiating between human-written code and code generated by intelligent models. This paper ... | [
18529,
3050,
18411,
25227,
39466,
18960,
43930,
5149
] | Train |
43,045 | 24 | Title: DeepEpiSolver: Unravelling Inverse problems in Covid, HIV, Ebola and Disease Transmission
Abstract: The spread of many infectious diseases is modeled using variants of the SIR compartmental model, which is a coupled differential equation. The coefficients of the SIR model determine the spread trajectories of dis... | [] | Train |
43,046 | 30 | Title: Automated Reading Passage Generation with OpenAI's Large Language Model
Abstract: The widespread usage of computer-based assessments and individualized learning platforms has resulted in an increased demand for the rapid production of high-quality items. Automated item generation (AIG), the process of using item... | [
16826
] | Validation |
43,047 | 6 | Title: FraudAuditor: A Visual Analytics Approach for Collusive Fraud in Health Insurance
Abstract: Collusive fraud, in which multiple fraudsters collude to defraud health insurance funds, threatens the operation of the healthcare system. However, existing statistical and machine learning-based methods have limited abil... | [] | Validation |
43,048 | 16 | Title: Language-free Compositional Action Generation via Decoupling Refinement
Abstract: Composing simple elements into complex concepts is crucial yet challenging, especially for 3D action generation. Existing methods largely rely on extensive neural language annotations to discern composable latent semantics, a proce... | [
46086
] | Train |
43,049 | 16 | Title: JutePestDetect: An Intelligent Approach for Jute Pest Identification Using Fine-Tuned Transfer Learning
Abstract: nan | [] | Validation |
43,050 | 5 | Title: Coefficient Synthesis for Threshold Automata
Abstract: nan | [] | Validation |
43,051 | 24 | Title: MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction
Abstract: How to effectively represent molecules is a long-standing challenge for molecular property prediction and drug discovery. This paper studies this problem and proposes to incorporate chemical domain knowledge... | [
18085
] | Test |
43,052 | 5 | Title: The Universal Trust Machine: A survey on the Web3 path towards enabling long term digital cooperation through decentralised trust
Abstract: —Since the dawn of human civilization, trust has been the core challenge of social organization. Trust functions to reduce the effort spent in constantly monitoring others’ ... | [] | Test |
43,053 | 24 | Title: BCEdge: SLO-Aware DNN Inference Services with Adaptive Batching on Edge Platforms
Abstract: As deep neural networks (DNNs) are being applied to a wide range of edge intelligent applications, it is critical for edge inference platforms to have both high-throughput and low-latency at the same time. Such edge platf... | [] | Train |
43,054 | 16 | Title: MoDA: Modeling Deformable 3D Objects from Casual Videos
Abstract: In this paper, we focus on the challenges of modeling deformable 3D objects from casual videos. With the popularity of neural radiance fields (NeRF), many works extend it to dynamic scenes with a canonical NeRF and a deformation model that achieve... | [
9304,
25647
] | Validation |
43,055 | 30 | Title: Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation Extraction
Abstract: Document-level relation extraction (DocRE) attracts more research interest recently. While models achieve consistent performance gains in DocRE, their underlying decision rules are ... | [] | Validation |
43,056 | 24 | Title: Sparse Federated Training of Object Detection in the Internet of Vehicles
Abstract: As an essential component part of the Intelligent Transportation System (ITS), the Internet of Vehicles (IoV) plays a vital role in alleviating traffic issues. Object detection is one of the key technologies in the IoV, which has... | [] | Test |
43,057 | 17 | Title: MagicAvatar: Multimodal Avatar Generation and Animation
Abstract: This report presents MagicAvatar, a framework for multimodal video generation and animation of human avatars. Unlike most existing methods that generate avatar-centric videos directly from multimodal inputs (e.g., text prompts), MagicAvatar explic... | [
13474
] | Train |
43,058 | 24 | Title: MHfit: Mobile Health Data for Predicting Athletics Fitness Using Machine Learning Models
Abstract: Mobile phones and other electronic gadgets/devices have aided in collecting data without the need for data entry. This paper will specifically focus on Mobile health data(m-health). Mobile health data use mobile de... | [] | Test |
43,059 | 3 | Title: The aesthetics of cyber security: How do users perceive them?
Abstract: While specific aesthetic philosophies may differ across cultures, all human societies have used aesthetics to support communication and learning. Within the fields of usability and usable security, aesthetics have been deployed for such dive... | [] | Test |
43,060 | 30 | Title: Towards General Text Embeddings with Multi-stage Contrastive Learning
Abstract: We present GTE, a general-purpose text embedding model trained with multi-stage contrastive learning. In line with recent advancements in unifying various NLP tasks into a single format, we train a unified text embedding model by emp... | [
24161,
13700,
33220,
9804,
27669,
32213,
12349
] | Validation |
43,061 | 27 | Title: Continuous Versatile Jumping Using Learned Action Residuals
Abstract: Jumping is essential for legged robots to traverse through difficult terrains. In this work, we propose a hierarchical framework that combines optimal control and reinforcement learning to learn continuous jumping motions for quadrupedal robot... | [
34398,
710
] | Test |
43,062 | 24 | Title: SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting
Abstract: Contrastive learning methods have shown an impressive ability to learn meaningful representations for image or time series classification. However, these methods are less effective for time series forecasting, as optimiza... | [
38412,
26293
] | Train |
43,063 | 24 | Title: ManimML: Communicating Machine Learning Architectures with Animation
Abstract: There has been an explosion in interest in machine learning (ML) in recent years due to its applications to science and engineering. However, as ML techniques have advanced, tools for explaining and visualizing novel ML algorithms hav... | [] | Train |
43,064 | 24 | Title: Continual Few-Shot Learning Using HyperTransformers
Abstract: We focus on the problem of learning without forgetting from multiple tasks arriving sequentially, where each task is defined using a few-shot episode of novel or already seen classes. We approach this problem using the recently published HyperTransfor... | [
36724
] | Test |
43,065 | 16 | Title: Thinking Twice: Clinical-Inspired Thyroid Ultrasound Lesion Detection Based on Feature Feedback
Abstract: Accurate detection of thyroid lesions is a critical aspect of computer-aided diagnosis. However, most existing detection methods perform only one feature extraction process and then fuse multi-scale features... | [] | Validation |
43,066 | 30 | Title: E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation
Abstract: Text image machine translation (TIMT) aims to translate texts embedded in images from one source language to another target language. Existing methods, both two-stage cascade and one-stage end-to-end architectures, suffer ... | [] | Validation |
43,067 | 16 | Title: CyberLoc: Towards Accurate Long-term Visual Localization
Abstract: This technical report introduces CyberLoc, an image-based visual localization pipeline for robust and accurate long-term pose estimation under challenging conditions. The proposed method comprises four modules connected in a sequence. First, a ma... | [] | Validation |
43,068 | 30 | Title: LIQUID: A Framework for List Question Answering Dataset Generation
Abstract: Question answering (QA) models often rely on large-scale training datasets, which necessitates the development of a data generation framework to reduce the cost of manual annotations. Although several recent studies have aimed to genera... | [
9161,
43403
] | Train |
43,069 | 25 | Title: Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification
Abstract: In this paper, we present a deep learning based multimodal system for classifying daily life videos. To train the system, we propose a two-phase training strategy. In the first training phase (Phase I), ... | [
13547
] | Test |
43,070 | 30 | Title: Multi-Method Self-Training: Improving Code Generation With Text, And Vice Versa
Abstract: Large Language Models have many methods for solving the same problem. This introduces novel strengths (different methods may work well for different problems) and weaknesses (it may be difficult for users to know which meth... | [
30243,
13564
] | Test |
43,071 | 16 | Title: Invertible Neural Skinning
Abstract: Building animatable and editable models of clothed humans from raw 3D scans and poses is a challenging problem. Existing reposing methods suffer from the limited expressiveness of Linear Blend Skinning (LBS), require costly mesh extraction to generate each new pose, and typic... | [] | Validation |
43,072 | 30 | Title: Entry Separation using a Mixed Visual and Textual Language Model: Application to 19th century French Trade Directories
Abstract: When extracting structured data from repetitively organized documents, such as dictionaries, directories, or even newspapers, a key challenge is to correctly segment what constitutes t... | [] | Test |
43,073 | 30 | Title: AutoWS: Automated Weak Supervision Framework for Text Classification
Abstract: Creating large, good quality labeled data has become one of the major bottlenecks for developing machine learning applications. Multiple techniques have been developed to either decrease the dependence of labeled data (zero/few-shot l... | [] | Validation |
43,074 | 24 | Title: SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
Abstract: Many approaches in machine learning rely on a weighted graph to encode the similarities between samples in a dataset. Entropic affinities (EAs), which are notably used in the popular Dimensionality Reduction (DR) algorithm t-SNE, are part... | [] | Test |
43,075 | 4 | Title: Privacy Considerations for Risk-Based Authentication Systems
Abstract: Risk-based authentication (RBA) extends authentication mechanisms to make them more robust against account takeover attacks, such as those using stolen passwords. RBA is recommended by NIST and NCSC to strengthen password-based authentication... | [
21290,
19413
] | Train |
43,076 | 16 | Title: Stereo Matching in Time: 100+ FPS Video Stereo Matching for Extended Reality
Abstract: Real-time Stereo Matching is a cornerstone algorithm for many Extended Reality (XR) applications, such as indoor 3D understanding, video pass-through, and mixed-reality games. Despite significant advancements in deep stereo me... | [] | Train |
43,077 | 16 | Title: Point-SLAM: Dense Neural Point Cloud-based SLAM
Abstract: We propose a dense neural simultaneous localization and mapping (SLAM) approach for monocular RGBD input which anchors the features of a neural scene representation in a point cloud that is iteratively generated in an input-dependent data-driven manner. W... | [
22593,
33277
] | Train |
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