node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
42,578 | 30 | Title: New Product Development (NPD) through Social Media-based Analysis by Comparing Word2Vec and BERT Word Embeddings
Abstract: This study introduces novel methods for sentiment and opinion classification of tweets to support the New Product Development (NPD) process. Two popular word embedding techniques, Word2Vec a... | [] | Test |
42,579 | 16 | Title: Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition
Abstract: Many of the commonly used datasets for face recognition development are collected from the internet without proper user consent. Due to the increasing focus on privacy in the social and legal frameworks, th... | [
23153,
22834,
43091
] | Validation |
42,580 | 16 | Title: Adaptive Texture Filtering for Single-Domain Generalized Segmentation
Abstract: Domain generalization in semantic segmentation aims to alleviate the performance degradation on unseen domains through learning domain-invariant features. Existing methods diversify images in the source domain by adding complex or ev... | [] | Train |
42,581 | 24 | Title: Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models
Abstract: Preference-based reinforcement learning (PbRL) can enable robots to learn to perform tasks based on an individual's preferences without requiring a hand-crafted re-ward function. However, existing approaches either assume a... | [
28106,
46149
] | Validation |
42,582 | 24 | Title: Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision Processes
Abstract: Policy-based algorithms are among the most widely adopted techniques in model-free RL, thanks to their strong theoretical groundings and good properties in continuous action spaces. Unfortunately, these methods requir... | [] | Train |
42,583 | 16 | Title: Language-Guided Audio-Visual Source Separation via Trimodal Consistency
Abstract: We propose a self-supervised approach for learning to perform audio source separation in videos based on natu-ral language queries, using only unlabeled video and au-dio pairs as training data. A key challenge in this task is learn... | [
24248,
32447,
26375
] | Validation |
42,584 | 15 | Title: Hog 2023.1: a collaborative management tool to handle Git-based HDL repository
Abstract: Hog (HDL on Git) is an open-source tool designed to manage Git-based HDL repositories. It aims to simplify HDL project development, maintenance, and versioning by using Git to guarantee synthesis and implementation reproduci... | [] | Test |
42,585 | 16 | Title: Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8
Abstract: Traffic safety is a major global concern. Helmet usage is a key factor in preventing head injuries and fatalities caused by motorcycle accidents. However, helmet usage violations continue to be a signific... | [
15288,
3372,
33070,
29615
] | Train |
42,586 | 3 | Title: Regulating ChatGPT and other Large Generative AI Models
Abstract: Large generative AI models (LGAIMs), such as ChatGPT, GPT-4 or Stable Diffusion, are rapidly transforming the way we communicate, illustrate, and create. However, AI regulation, in the EU and beyond, has primarily focused on conventional AI models... | [
19968,
11273,
14742,
22935,
36383,
13224,
21807,
45104,
39987,
30261,
3518,
13510,
22476,
22606,
11087,
30421,
38235,
7648,
15472,
45680,
33907,
45563,
1917
] | Validation |
42,587 | 16 | Title: StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation
Abstract: Unconditional video generation is a challenging task that involves synthesizing high-quality videos that are both coherent and of extended duration. To address this challenge, researchers have used pretrained Styl... | [
31267
] | Train |
42,588 | 8 | Title: Techno-Economic Assessment in Communications: New Challenges
Abstract: This article shows a brief history of Techno-Economic Assessment (TEA) in Communications, a proposed redefinition of TEA as well as the new challenges derived from a dynamic context with cloud-native virtualized networks, the Helium Network&a... | [] | Train |
42,589 | 30 | Title: A Study of Generative Large Language Model for Medical Research and Healthcare
Abstract: There is enormous enthusiasm and concerns in using large language models (LLMs) in healthcare, yet current assumptions are all based on general-purpose LLMs such as ChatGPT. This study develops a clinical generative LLM, Gat... | [
20993
] | Validation |
42,590 | 6 | Title: RealityCanvas: Augmented Reality Sketching for Embedded and Responsive Scribble Animation Effects
Abstract: We introduce RealityCanvas, a mobile AR sketching tool that can easily augment real-world physical motion with responsive hand-drawn animation. Recent research in AR sketching tools has enabled users to no... | [
18616
] | Train |
42,591 | 30 | Title: In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages
Abstract: Multilingual generative language models (LMs) are increasingly fluent in a large variety of languages. Trained on the concatenation of corpora in multiple languages, they enable powerful ... | [] | Train |
42,592 | 10 | Title: Lifted Inference beyond First-Order Logic
Abstract: Weighted First Order Model Counting (WFOMC) is fundamental to probabilistic inference in statistical relational learning models. As WFOMC is known to be intractable in general ($\#$P-complete), logical fragments that admit polynomial time WFOMC are of significa... | [
40203
] | Train |
42,593 | 5 | Title: Ultra-Precise Synchronization for TDoA-based Localization Using Signals of Opportunity
Abstract: Precise localization is one key element of the Internet of Things (IoT). Especially concepts for position estimation when Global Navigation Satellite Systems (GNSS) are unavailable have moved into the focus. One cruc... | [] | Train |
42,594 | 9 | Title: Exceeding Computational Complexity Trial-and-Error Dynamic Action and Intelligence
Abstract: Computational complexity is a core theory of computer science, which dictates the degree of difficulty of computation. There are many problems with high complexity that we have to deal, which is especially true for AI. T... | [] | Train |
42,595 | 24 | Title: Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
Abstract: Object rearrangement is a challenge for embodied agents because solving these tasks requires generalizing across a combinatorially large set of configurations of entities and their location... | [
31992,
22010,
35823
] | Validation |
42,596 | 28 | Title: The Rate-Distortion-Perception Trade-off with Side Information
Abstract: In image compression, with recent advances in generative modeling, the existence of a trade-off between the rate and the perceptual quality has been brought to light, where the perception is measured by the closeness of the output distribut... | [
33254
] | Train |
42,597 | 24 | Title: PLay: Parametrically Conditioned Layout Generation using Latent Diffusion
Abstract: Layout design is an important task in various design fields, including user interface, document, and graphic design. As this task requires tedious manual effort by designers, prior works have attempted to automate this process us... | [
224,
26825,
27308,
38551,
10077
] | Test |
42,598 | 31 | Title: One-Shot Labeling for Automatic Relevance Estimation
Abstract: Dealing with unjudged documents ("holes") in relevance assessments is a perennial problem when evaluating search systems with offline experiments. Holes can reduce the apparent effectiveness of retrieval systems during evaluation and introduce biases... | [
41871
] | Validation |
42,599 | 16 | Title: SegGPT: Segmenting Everything In Context
Abstract: We present SegGPT, a generalist model for segmenting everything in context. We unify various segmentation tasks into a generalist in-context learning framework that accommodates different kinds of segmentation data by transforming them into the same format of im... | [
25222,
4871,
27144,
8084,
33944,
40728,
25889,
15270,
14504,
16045,
4788,
23092,
43701,
43327,
18112,
24257,
19907,
6089,
20174,
26714,
4443,
31323,
30685,
34912,
17633,
25703,
13674,
28141,
17390,
27763,
11894,
10619,
381,
1151
] | Test |
42,600 | 8 | Title: Open Source-based Over-The-Air 5G New Radio Sidelink Testbed
Abstract: The focus of this paper is the prototype development for 5G new radio (NR) sidelink communications, which enables NR UEs to transfer data independently without the assistance of a base station (gNB), designated as sidelink mode 2. Our design ... | [] | Train |
42,601 | 25 | Title: Learning an Interpretable End-to-End Network for Real-Time Acoustic Beamforming
Abstract: Recently, many forms of audio industrial applications, such as sound monitoring and source localization, have begun exploiting smart multi-modal devices equipped with a microphone array. Regrettably, model-based methods are... | [] | Test |
42,602 | 24 | Title: Efficient distributed representations beyond negative sampling
Abstract: This article describes an efficient method to learn distributed representations, also known as embeddings. This is accomplished minimizing an objective function similar to the one introduced in the Word2Vec algorithm and later adopted in se... | [] | Train |
42,603 | 30 | Title: The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting
Abstract: In this work, we focus on sentence splitting, a subfield of text simplification, primarily motivated by an unproven idea that if you divide a sentence into pieces, it should become easier to understand. Our primary goal in th... | [] | Train |
42,604 | 16 | Title: Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets
Abstract: We introduce the Collection Space Navigator (CSN), a browser-based visualization tool to explore, research, and curate large collections of visual digital artifacts that are associated with multidimensional... | [] | Train |
42,605 | 16 | Title: StyleHumanCLIP: Text-guided Garment Manipulation for StyleGAN-Human
Abstract: This paper tackles text-guided control of StyleGAN for editing garments in full-body human images. Existing StyleGAN-based methods suffer from handling the rich diversity of garments and body shapes and poses. We propose a framework fo... | [
16103
] | Train |
42,606 | 16 | Title: SDeMorph: Towards Better Facial De-morphing from Single Morph
Abstract: Face Recognition Systems (FRS) are vulnerable to morph attacks. A face morph is created by combining multiple identities with the intention to fool FRS and making it match the morph with multiple identities. Current Morph Attack Detection (M... | [
29712
] | Test |
42,607 | 8 | Title: A New Scheduler for URLLC in 5G NR IIoT Networks with Spatio-Temporal Traffic Correlations
Abstract: This paper explores the issue of enabling Ultra-Reliable Low-Latency Communications (URLLC) in view of the spatio-temporal correlations that characterize real 5th generation (5G) Industrial Internet of Things (II... | [] | Train |
42,608 | 8 | Title: GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters
Abstract: Congestion Control (CC) plays a fundamental role in optimizing traffic in Data Center Networks (DCN). Currently, DCNs mainly implement two main CC protocols: DCTCP and DCQCN. Both protocols -- and their main variant... | [] | Train |
42,609 | 27 | Title: Understanding URDF: A Dataset and Analysis
Abstract: As the complexity of robot systems increases, it becomes more effective to simulate them before deployment. To do this, a model of the robot's kinematics or dynamics is required, and the most commonly used format is the Unified Robot Description Format (URDF).... | [
43214
] | Train |
42,610 | 31 | Title: CTR is not Enough: a Novel Reinforcement Learning based Ranking Approach for Optimizing Session Clicks
Abstract: Ranking is a crucial module using in the recommender system. In particular, the ranking module using in our YoungTao recommendation scenario is to provide an ordered list of items to users, to maximiz... | [] | Train |
42,611 | 16 | Title: Few shot font generation via transferring similarity guided global style and quantization local style
Abstract: Automatic few-shot font generation (AFFG), aiming at generating new fonts with only a few glyph references, reduces the labor cost of manually designing fonts. However, the traditional AFFG paradigm of... | [] | Train |
42,612 | 28 | Title: Beamforming Design for RIS-Aided AF Relay Networks
Abstract: Since reconfigurable intelligent surface (RIS) is considered to be a passive reflector for rate performance enhancement, a RIS-aided amplify-and-forward (AF) relay network is presented. By jointly optimizing the beamforming matrix at AF relay and the p... | [
30010,
28933
] | Validation |
42,613 | 16 | Title: PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
Abstract: Contrastive learning based vision-language joint pre-training has emerged as a successful representation learning strategy. In this paper, we present a prototype representation learning framework incorporating both global an... | [] | Test |
42,614 | 24 | Title: Inspecting class hierarchies in classification-based metric learning models
Abstract: Most classification models treat all misclassifications equally. However, different classes may be related, and these hierarchical relationships must be considered in some classification problems. These problems can be addresse... | [] | Train |
42,615 | 24 | Title: Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics
Abstract: Deep learning continues to rapidly evolve and is now demonstrating remarkable potential for numerous medical prediction tasks. However, realizing deep learning models that generalize across healthcare or... | [
31540
] | Test |
42,616 | 24 | Title: VA-learning as a more efficient alternative to Q-learning
Abstract: In reinforcement learning, the advantage function is critical for policy improvement, but is often extracted from a learned Q-function. A natural question is: Why not learn the advantage function directly? In this work, we introduce VA-learning,... | [] | Test |
42,617 | 2 | Title: Symbolic Model Construction for Saturated Constrained Horn Clauses
Abstract: nan | [] | Test |
42,618 | 5 | Title: Availability Evaluation of IoT Systems with Byzantine Fault-Tolerance for Mission-critical Applications
Abstract: nan | [] | Train |
42,619 | 16 | Title: Weakly-Supervised Temporal Action Localization by Inferring Snippet-Feature Affinity
Abstract: Weakly-supervised temporal action localization aims to locate action regions and identify action categories in untrimmed videos, only taking video-level labels as the supervised information. Pseudo label generation is ... | [] | Train |
42,620 | 8 | Title: Performance Analysis of Non-ideal Wireless PBFT Networks with mmWave and Terahertz Signals
Abstract: Due to advantages in security and privacy, blockchain is considered a key enabling technology to support 6G communications. Practical Byzantine Fault Tolerance (PBFT) is seen as the most applicable consensus mech... | [
40188
] | Train |
42,621 | 16 | Title: Computational Flash Photography through Intrinsics
Abstract: Flash is an essential tool as it often serves as the sole controllable light source in everyday photography. However, the use of flash is a binary decision at the time a photograph is captured with limited control over its characteristics such as stren... | [] | Train |
42,622 | 10 | Title: IBIA: An Incremental Build-Infer-Approximate Framework for Approximate Inference of Partition Function
Abstract: Exact computation of the partition function is known to be intractable, necessitating approximate inference techniques. Existing methods for approximate inference are slow to converge for many benchma... | [
30838
] | Train |
42,623 | 4 | Title: A Deep Analysis of Hybrid-Multikey-PUF
Abstract: Unique key generation is essential for encryption purposes between Internet of Things (IoT) devices. To produce a unique key for this encryption, Physical Unclonable Functions (PUFs) might be employed. Also, the Random Number Generator (RNG) is used in many differ... | [] | Train |
42,624 | 4 | Title: EduChain: A Blockchain-based Education Data Management System
Abstract: nan | [] | Train |
42,625 | 24 | Title: Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features
Abstract: In recent years, many Machine Learning (ML) explanation techniques have been designed using ideas from cooperative game theory. These game-theoretic explainers suffer fr... | [
45405
] | Test |
42,626 | 13 | Title: On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search
Abstract: Evolvability refers to the ability of an individual genotype (solution) to produce offspring with mutually diverse phenotypes. Recent research has demonstrated that divergent search methods, particularly novelty search, promo... | [] | Train |
42,627 | 27 | Title: InstaGrasp: An Entirely 3D Printed Adaptive Gripper with TPU Soft Elements and Minimal Assembly Time
Abstract: Fabricating existing and popular open-source adaptive robotic grippers commonly involves using multiple professional machines, purchasing a wide range of parts, and tedious, time-consuming assembly proc... | [] | Test |
42,628 | 24 | Title: Classification with Trust: A Supervised Approach based on Sequential Ellipsoidal Partitioning
Abstract: Standard metrics of performance of classifiers, such as accuracy and sensitivity, do not reveal the trust or confidence in the predicted labels of data. While other metrics such as the computed probability of ... | [] | Train |
42,629 | 24 | Title: Hybrid machine-learned homogenization: Bayesian data mining and convolutional neural networks
Abstract: Beyond the generally deployed features for microstructure property prediction this study aims to improve the machine learned prediction by developing novel feature descriptors. Therefore, Bayesian infused data... | [] | Test |
42,630 | 27 | Title: Learning Complicated Manipulation Skills via Deterministic Policy with Limited Demonstrations
Abstract: Combined with demonstrations, deep reinforcement learning can efficiently develop policies for manipulators. However, it takes time to collect sufficient high-quality demonstrations in practice. And human demo... | [] | Test |
42,631 | 30 | Title: A Prompt-based Multimodal Tabular Transformer Encoder For Medical Intervention Duration Estimation
Abstract: Objective: This study focuses on estimating the duration of medical interventions using electronic health records (EHRs) in clinical decision support. Most existing models were designed for structured tab... | [] | Validation |
42,632 | 24 | Title: A Semantic Modular Framework for Events Topic Modeling in Social Media
Abstract: The advancement of social media contributes to the growing amount of content they share frequently. This framework provides a sophisticated place for people to report various real-life events. Detecting these events with the help of... | [] | Test |
42,633 | 6 | Title: How to Compliment a Human - Designing Affective and Well-being Promoting Conversational Things
Abstract: With today's technologies it seems easier than ever to augment everyday things with the ability to perceive their environment and to talk to users. Considering conversational user interfaces, tremendous progr... | [] | Train |
42,634 | 16 | Title: It is not Sexually Suggestive, It is Educative. Separating Sex Education from Suggestive Content on TikTok Videos
Abstract: We introduce SexTok, a multi-modal dataset composed of TikTok videos labeled as sexually suggestive (from the annotator's point of view), sex-educational content, or neither. Such a dataset... | [] | Test |
42,635 | 26 | Title: Causal Influences over Social Learning Networks
Abstract: This paper investigates causal influences between agents linked by a social graph and interacting over time. In particular, the work examines the dynamics of social learning models and distributed decision-making protocols, and derives expressions that re... | [] | Train |
42,636 | 31 | Title: NASA Science Mission Directorate Knowledge Graph Discovery
Abstract: The size of the National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD) data catalog is growing exponentially, allowing researchers to make discoveries. However, making discoveries is challenging and time-consumin... | [] | Train |
42,637 | 6 | Title: Evaluation of motion comfort using advanced active human body models and efficient simplified models
Abstract: Active muscles are crucial for maintaining postural stability when seated in a moving vehicle. Advanced active 3D non-linear full body models have been developed for impact and comfort simulation, inclu... | [
25305,
13899,
20947
] | Validation |
42,638 | 34 | Title: Consistency-Checking Problems: A Gateway to Parameterized Sample Complexity
Abstract: Recently, Brand, Ganian and Simonov introduced a parameterized refinement of the classical PAC-learning sample complexity framework. A crucial outcome of their investigation is that for a very wide range of learning problems, t... | [] | Train |
42,639 | 4 | Title: Privacy-Preserving Discretized Spiking Neural Networks
Abstract: The rapid development of artificial intelligence has brought considerable convenience, yet also introduces significant security risks. One of the research hotspots is to balance data privacy and utility in the real world of artificial intelligence.... | [] | Test |
42,640 | 38 | Title: BIP! NDR (NoDoiRefs): A Dataset of Citations From Papers Without DOIs in Computer Science Conferences and Workshops
Abstract: In the field of Computer Science, conference and workshop papers serve as important contributions, carrying substantial weight in research assessment processes, compared to other discipli... | [] | Train |
42,641 | 16 | Title: TR3D: Towards Real-Time Indoor 3D Object Detection
Abstract: Recently, sparse 3D convolutions have changed 3D object detection. Performing on par with the voting-based approaches, 3D CNNs are memory-efficient and scale to large scenes better. However, there is still room for improvement. With a conscious, practi... | [
7569,
10284,
12903
] | Test |
42,642 | 16 | Title: Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
Abstract: Autonomous driving needs to rely on high-quality 3D object detection to ensure safe navigation in the world. Uncertainty estimation is an effective tool to provide statistically accurate predictions, while the associated detection uncertainty... | [] | Validation |
42,643 | 10 | Title: Applying human-centered AI in developing effective human-AI teaming: A perspective of human-AI joint cognitive systems
Abstract: Research and application have used human-AI teaming (HAT) as a new paradigm to develop AI systems. HAT recognizes that AI will function as a teammate instead of simply a tool in collab... | [] | Test |
42,644 | 16 | Title: Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation
Abstract: We propose the NeRF-LEBM, a likelihood-based top-down 3D-aware 2D image generative model that incorporates 3D representation via Neural Radiance Fields (NeRF) and 2D imaging pr... | [] | Test |
42,645 | 16 | Title: HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion
Abstract: Representing human performance at high-fidelity is an essential building block in diverse applications, such as film production, computer games or videoconferencing. To close the gap to production-level quality, we introduce HumanRF1, a... | [
3680,
32384,
44100,
37352,
16521,
21771,
26326,
30457,
9565
] | Train |
42,646 | 24 | Title: Toward Degree Bias in Embedding-Based Knowledge Graph Completion
Abstract: A fundamental task for knowledge graphs (KGs) is knowledge graph completion (KGC). It aims to predict unseen edges by learning representations for all the entities and relations in a KG. A common concern when learning representations on t... | [] | Test |
42,647 | 23 | Title: GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench
Abstract: With the emergence of Machine Learning, there has been a surge in leveraging its capabilities for problem-solving across various domains. In the code clone realm, the identific... | [
16168,
43566
] | Train |
42,648 | 24 | Title: AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models
Abstract: Unrestricted adversarial attacks present a serious threat to deep learning models and adversarial defense techniques. They pose severe security problems for deep learning applications because they can effectively bypass defens... | [] | Train |
42,649 | 23 | Title: Backdooring Neural Code Search
Abstract: Reusing off-the-shelf code snippets from online repositories is a common practice, which significantly enhances the productivity of software developers. To find desired code snippets, developers resort to code search engines through natural language queries. Neural code s... | [
31643
] | Train |
42,650 | 7 | Title: Reduced Basis Approximation for Maxwell's Eigenvalue Problem and Parameter-Dependent Domains
Abstract: In many high-frequency simulation workflows, eigenvalue tracking along a parameter variation is necessary. This can become computationally prohibitive when repeated time-consuming eigenvalue problems must be so... | [] | Test |
42,651 | 24 | Title: A framework for benchmarking class-out-of-distribution detection and its application to ImageNet
Abstract: When deployed for risk-sensitive tasks, deep neural networks must be able to detect instances with labels from outside the distribution for which they were trained. In this paper we present a novel framewor... | [
21008,
18945,
45363
] | Train |
42,652 | 24 | Title: FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification
Abstract: Deep learning-based algorithms, e.g., convolutional networks, have significantly facilitated multivariate time series classification (MTSC) task. Nevertheless, they suffer from the limitation in modeling lo... | [] | Train |
42,653 | 16 | Title: PSSTRNet: Progressive Segmentation-Guided Scene Text Removal Network
Abstract: Scene text removal (STR) is a challenging task due to the complex text fonts, colors, sizes, and background textures in scene images. However, most previous methods learn both text location and background inpainting implicitly within ... | [
35077,
17903
] | Test |
42,654 | 24 | Title: DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
Abstract: Deep neural networks (DNNs) are widely used in various application domains such as image processing, speech recognition, and natural language processing. However, testing DNN models may be challenging due to the comple... | [] | Test |
42,655 | 10 | Title: VITAL: Vision Transformer Neural Networks for Accurate Smartphone Heterogeneity Resilient Indoor Localization
Abstract: Wi-Fi fingerprinting-based indoor localization is an emerging embedded application domain that leverages existing Wi-Fi access points (APs) in buildings to localize users with smartphones. Unfo... | [] | Train |
42,656 | 3 | Title: The Importance of Education for Technological Development and the Role of Internet-Based Learning in Education
Abstract: In today's world, many technologically advanced countries have realized that real power lies not in physical strength but in educated minds. As a result, every country has embarked on restruct... | [] | Train |
42,657 | 30 | Title: Fairness-guided Few-shot Prompting for Large Language Models
Abstract: Large language models have demonstrated surprising ability to perform in-context learning, i.e., these models can be directly applied to solve numerous downstream tasks by conditioning on a prompt constructed by a few input-output examples. H... | [
14592,
13700,
31431,
10900,
21880
] | Train |
42,658 | 8 | Title: Towards Synthesizing Datasets for IEEE 802.1 Time-sensitive Networking
Abstract: IEEE 802.1 Time-sensitive Networking (TSN) protocols have recently been proposed to replace legacy networking technologies across different mission-critical systems (MCSs). Design, configuration, and maintenance of TSN within MCSs r... | [
22091
] | Train |
42,659 | 8 | Title: NELoRa-Bench: A Benchmark for Neural-enhanced LoRa Demodulation
Abstract: Low-Power Wide-Area Networks (LPWANs) are an emerging Internet-of-Things (IoT) paradigm marked by low-power and long-distance communication. Among them, LoRa is widely deployed for its unique characteristics and open-source technology. By ... | [] | Validation |
42,660 | 30 | Title: Meta-Learning For Vision-and-Language Cross-lingual Transfer
Abstract: Current pre-trained vison-language models (PVLMs) achieve excellent performance on a range of multi-modal datasets. Recent work has aimed at building multilingual models, and a range of novel multilingual multi-modal datasets have been propos... | [] | Train |
42,661 | 16 | Title: ReDirTrans: Latent-to-Latent Translation for Gaze and Head Redirection
Abstract: Learning-based gaze estimation methods require large amounts of training data with accurate gaze annotations. Facing such demanding requirements of gaze data collection and annotation, several image synthesis methods were proposed, ... | [] | Test |
42,662 | 24 | Title: Optimal Sets and Solution Paths of ReLU Networks
Abstract: We develop an analytical framework to characterize the set of optimal ReLU neural networks by reformulating the non-convex training problem as a convex program. We show that the global optima of the convex parameterization are given by a polyhedral set a... | [] | Train |
42,663 | 8 | Title: dMAPAR-HMM: Reforming Traffic Model for Improving Performance Bound with Stochastic Network Calculus
Abstract: A popular branch of stochastic network calculus (SNC) utilizes moment-generating functions (MGFs) to characterize arrivals and services, which enables end-to-end performance analysis. However, existing ... | [] | Validation |
42,664 | 13 | Title: Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training
Abstract: Biological evidence suggests that adaptation of synaptic delays on short to medium timescales plays an important role in learning in the brain. Inspired by biology, we explore the feasibility and power of using s... | [] | Test |
42,665 | 16 | Title: Distribution Aligned Feature Clustering for Zero-Shot Sketch-Based Image Retrieval
Abstract: Zero-Shot Sketch-Based Image Retrieval (ZS-SBIR) is a challenging cross-modal retrieval task. In prior arts, the retrieval is conducted by sorting the distance between the query sketch and each image in the gallery. Howe... | [] | Test |
42,666 | 16 | Title: Shap-E: Generating Conditional 3D Implicit Functions
Abstract: We present Shap-E, a conditional generative model for 3D assets. Unlike recent work on 3D generative models which produce a single output representation, Shap-E directly generates the parameters of implicit functions that can be rendered as both text... | [
13186,
22023,
43152,
17938,
32148,
2583,
11544,
10136,
28827,
2168,
41640,
2860,
14255,
33845,
33977,
42937,
40256,
19013,
3912,
19532,
34000,
38993,
39256,
21212,
8798,
4583,
24039,
22006,
32120,
40830
] | Train |
42,667 | 16 | Title: SR-init: An interpretable layer pruning method
Abstract: Despite the popularization of deep neural networks (DNNs) in many fields, it is still challenging to deploy state-of-the-art models to resource-constrained devices due to high computational overhead. Model pruning provides a feasible solution to the aforem... | [] | Validation |
42,668 | 4 | Title: Improving Java Deserialization Gadget Chain Mining via Overriding-Guided Object Generation
Abstract: Java (de)serialization is prone to causing security-critical vulnerabilities that attackers can invoke existing methods (gadgets) on the application's classpath to construct a gadget chain to perform malicious be... | [
3338
] | Train |
42,669 | 24 | Title: Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
Abstract: We design a novel algorithm for optimal transport by drawing from the entropic optimal transport, mirror descent and conjugate gradients literatures. Our algorithm is able to compute optimal transport costs with arbitr... | [] | Test |
42,670 | 24 | Title: Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm
Abstract: The linear bandit problem has been studied for many years in both stochastic and adversarial settings. Designing an algorithm that can optimize the environment without knowing the loss type attracts lots of in... | [] | Train |
42,671 | 30 | Title: Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them
Abstract: Large Language Models work quite well with general-purpose data and many tasks in Natural Language Processing. However, they show several limitations when used for a task such as domain-specific abstractive text summarizat... | [] | Validation |
42,672 | 7 | Title: A Fluid-Solid-Growth Solver for Cardiovascular Modeling
Abstract: nan | [] | Validation |
42,673 | 16 | Title: PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN
Abstract: Portrait synthesis creates realistic digital avatars which enable users to interact with others in a compelling way. Recent advances in StyleGAN and its extensions have shown promising results in synthesizing photorealistic and... | [] | Validation |
42,674 | 34 | Title: Optimally Computing Compressed Indexing Arrays Based on the Compact Directed Acyclic Word Graph
Abstract: In this paper, we present the first study of the computational complexity of converting an automata-based text index structure, called the Compact Directed Acyclic Word Graph (CDAWG), of size $e$ for a text ... | [] | Train |
42,675 | 16 | Title: 3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment
Abstract: 3D vision-language grounding (3D-VL) is an emerging field that aims to connect the 3D physical world with natural language, which is crucial for achieving embodied intelligence. Current 3D-VL models rely heavily on sophisticated modules... | [] | Train |
42,676 | 4 | Title: Universal Session Protocol: A Novel Approach to Session Management
Abstract: Currently, the TCP/IP model enables exploitation of vulnerabilities anonymously by unconditionally fulfilling every request for a connection into an application; the model only incorporates authentication within applications themselves,... | [] | Validation |
42,677 | 4 | Title: Dual-Space Attacks against Random-Walk-based Anomaly Detection
Abstract: Random Walks-based Anomaly Detection (RWAD) is commonly used to identify anomalous patterns in various applications. An intriguing characteristic of RWAD is that the input graph can either be pre-existing or constructed from raw features. C... | [] | Train |
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