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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|---|---|---|---|---|
37,778 | 16 | Title: ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation
Abstract: Editing real facial images is a crucial task in computer vision with significant demand in various real-world applications. While GAN-based methods have showed potential in manipulating images especially when combined with ... | [
27457,
13700,
37765,
7655,
29706,
39021,
41205,
3609,
26109
] | Train |
37,779 | 17 | Title: Example-based Motion Synthesis via Generative Motion Matching
Abstract: We present GenMM, a generative model that "mines" as many diverse motions as possible from a single or few example sequences. In stark contrast to existing data-driven methods, which typically require long offline training time, are prone to... | [
32538,
34579,
44447
] | Train |
37,780 | 16 | Title: CDIDN: A Registration Model with High Deformation Impedance Capability for Long-Term Tracking of Pulmonary Lesion Dynamics
Abstract: We study the problem of registration for medical CT images from a novel perspective -- the sensitivity to degree of deformations in CT images. Although some learning-based methods ... | [] | Test |
37,781 | 16 | Title: Action Segmentation Using 2D Skeleton Heatmaps
Abstract: This paper presents a 2D skeleton-based action segmentation method with applications in fine-grained human activity recognition. In contrast with state-of-the-art methods which directly take sequences of 3D skeleton coordinates as inputs and apply Graph Co... | [] | Train |
37,782 | 16 | Title: Teacher Network Calibration Improves Cross-Quality Knowledge Distillation
Abstract: We investigate cross-quality knowledge distillation (CQKD), a knowledge distillation method where knowledge from a teacher network trained with full-resolution images is transferred to a student network that takes as input low-re... | [] | Test |
37,783 | 24 | Title: Ambulance Demand Prediction via Convolutional Neural Networks
Abstract: Minimizing response times is crucial for emergency medical services to reduce patients' waiting times and to increase their survival rates. Many models exist to optimize operational tasks such as ambulance allocation and dispatching. Includi... | [] | Train |
37,784 | 16 | Title: Zero shot framework for satellite image restoration
Abstract: Satellite images are typically subject to multiple distortions. Different factors affect the quality of satellite images, including changes in atmosphere, surface reflectance, sun illumination, viewing geometries etc., limiting its application to down... | [] | Train |
37,785 | 24 | Title: Restoration based Generative Models
Abstract: Denoising diffusion models (DDMs) have recently attracted increasing attention by showing impressive synthesis quality. DDMs are built on a diffusion process that pushes data to the noise distribution and the models learn to denoise. In this paper, we establish the i... | [
41673
] | Train |
37,786 | 6 | Title: Decoding Brain Motor Imagery with various Machine Learning techniques
Abstract: Motor imagery (MI) is a well-documented technique used by subjects in BCI (Brain Computer Interface) experiments to modulate brain activity within the motor cortex and surrounding areas of the brain. In our term project, we conducted... | [] | Train |
37,787 | 36 | Title: Screening with Disadvantaged Agents
Abstract: Motivated by school admissions, this paper studies screening in a population with both advantaged and disadvantaged agents. A school is interested in admitting the most skilled students, but relies on imperfect test scores that reflect both skill and effort. Students... | [] | Train |
37,788 | 20 | Title: Advancing Front Mapping
Abstract: We present Advancing Front Mapping (AFM), a provably robust algorithm for the computation of surface mappings to simple base domains. Given an input mesh and a convex or star-shaped target domain, AFM installs a (possibly refined) version of the input connectivity into the targe... | [] | Train |
37,789 | 24 | Title: Copula for Instance-wise Feature Selection and Rank
Abstract: Instance-wise feature selection and ranking methods can achieve a good selection of task-friendly features for each sample in the context of neural networks. However, existing approaches that assume feature subsets to be independent are imperfect when... | [] | Test |
37,790 | 4 | Title: Saudi Arabian Perspective of Security, Privacy, and Attitude of Using Facial Recognition Technology
Abstract: Facial Recognition Technology (FRT) is a pioneering field of mass surveillance that sparks privacy concerns and is considered a growing threat in the modern world. FRT has been widely adopted in the King... | [] | Train |
37,791 | 30 | Title: Evaluating the Generation Capabilities of Large Chinese Language Models
Abstract: This paper presents CG-Eval, the first comprehensive evaluation of the generation capabilities of large Chinese language models across a wide range of academic disciplines. The models' performance was assessed based on their abilit... | [
33220,
1575,
37806,
22547,
39061,
29430
] | Train |
37,792 | 26 | Title: A Dual-mode Local Search Algorithm for Solving the Minimum Dominating Set Problem
Abstract: Given a graph, the minimum dominating set (MinDS) problem is to identify a smallest set $D$ of vertices such that every vertex not in $D$ is adjacent to at least one vertex in $D$. The MinDS problem is a classic $\mathcal... | [] | Test |
37,793 | 16 | Title: Spatial Bias for Attention-free Non-local Neural Networks
Abstract: In this paper, we introduce the spatial bias to learn global knowledge without self-attention in convolutional neural networks. Owing to the limited receptive field, conventional convolutional neural networks suffer from learning long-range depe... | [] | Train |
37,794 | 16 | Title: Feature point detection in HDR images based on coefficient of variation
Abstract: Feature point (FP) detection is a fundamental step of many computer vision tasks. However, FP detectors are usually designed for low dynamic range (LDR) images. In scenes with extreme light conditions, LDR images present saturated ... | [] | Train |
37,795 | 16 | Title: Unsupervised Camouflaged Object Segmentation as Domain Adaptation
Abstract: Deep learning for unsupervised image segmentation remains challenging due to the absence of human labels. The common idea is to train a segmentation head, with the supervision of pixel-wise pseudo-labels generated based on the representa... | [
29251,
34567,
45513,
35179,
11549
] | Train |
37,796 | 26 | Title: Understanding human mobility patterns in Chicago: an analysis of taxi data using clustering techniques
Abstract: Understanding human mobility patterns is important in applications as diverse as urban planning, public health, and political organizing. One rich source of data on human mobility is taxi ride data. U... | [] | Train |
37,797 | 30 | Title: Reducing Sequence Length by Predicting Edit Operations with Large Language Models
Abstract: Large Language Models (LLMs) have demonstrated remarkable performance in various tasks and gained significant attention. LLMs are also used for local sequence transduction tasks, including grammatical error correction (GE... | [
23238,
10598,
5643,
35117,
43221
] | Train |
37,798 | 3 | Title: The MEV Saga: Can Regulation Illuminate the Dark Forest?
Abstract: In this article, we develop an interdisciplinary analysis of MEV which desires to merge the gap that exists between technical and legal research supporting policymakers in their regulatory decisions concerning blockchains, DeFi and associated ris... | [] | Train |
37,799 | 16 | Title: BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs
Abstract: LLMs have demonstrated remarkable abilities at interacting with humans through language, especially with the usage of instruction-following data. Recent advancements in LLMs, such as MiniGPT-4, LLaVA, and X-LLM, further enlarge their abilities by i... | [
10624,
37987,
13700,
33220,
8903,
23545,
12171,
12527,
29559,
41104,
27282,
8084,
15413,
29527,
7384,
3609,
19677,
30745
] | Train |
37,800 | 36 | Title: Bayesian Rationality in Satisfaction Games
Abstract: We introduce a new paradigm for game theory -- Bayesian satisfaction. This novel approach is a synthesis of the idea of Bayesian rationality introduced by Aumann, and satisfaction games. The concept of Bayesian rationality for which, in part, Robert Aumann was... | [] | Test |
37,801 | 30 | Title: Narrative XL: A Large-scale Dataset For Long-Term Memory Models
Abstract: Despite their tremendous successes, most large language models do not have any long-term memory mechanisms, which restricts their applications. Overcoming this limitation would not only require changes to the typical transformer architectu... | [
39642,
45631
] | Train |
37,802 | 16 | Title: UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series
Abstract: Clouds and haze often occlude optical satellite images, hindering continuous, dense monitoring of the Earth’s surface. Although modern deep learning methods can implicitly learn to ignore such occlusions, explicit... | [
41818
] | Train |
37,803 | 27 | Title: WIP: Development of a Student-Centered Personalized Learning Framework to Advance Undergraduate Robotics Education
Abstract: This paper presents a work-in-progress on a learn-ing system that will provide robotics students with a personalized learning environment. This addresses both the scarcity of skilled robot... | [] | Train |
37,804 | 8 | Title: An End-To-End Analysis of Deep Learning-Based Remaining Useful Life Algorithms for Satefy-Critical 5G-Enabled IIoT Networks
Abstract: Remaining Useful Life (RUL) prediction is a critical task that aims to estimate the amount of time until a system fails, where the latter is formed by three main components, that ... | [] | Train |
37,805 | 34 | Title: A Near-Optimal Deterministic Distributed Synchronizer
Abstract: We provide the first deterministic distributed synchronizer with near-optimal time complexity and message complexity overheads. Concretely, given any distributed algorithm A that has time complexity T and message complexity M in the synchronous mess... | [] | Train |
37,806 | 30 | Title: M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models
Abstract: Large language models have recently made tremendous progress in a variety of aspects, e.g., cross-task generalization, instruction following. Comprehensively evaluating the capability of large lan... | [
40192,
13345,
30243,
33220,
34942,
13700,
7695,
22334,
32944,
22547,
26035,
37791,
12602,
19420,
4317,
6942,
34783
] | Train |
37,807 | 37 | Title: A fine-grained framework for database repairs
Abstract: We introduce a general abstract framework for database repairing that differentiates between integrity constraints and the so-called query constraints. The former are used to model consistency and desirable properties of the data (such as functional depende... | [] | Train |
37,808 | 24 | Title: A Multilayer Perceptron-based Fast Sunlight Assessment for the Conceptual Design of Residential Neighborhoods under Chinese Policy
Abstract: nan | [] | Train |
37,809 | 30 | Title: WebIE: Faithful and Robust Information Extraction on the Web
Abstract: Extracting structured and grounded fact triples from raw text is a fundamental task in Information Extraction (IE). Existing IE datasets are typically collected from Wikipedia articles, using hyperlinks to link entities to the Wikidata knowle... | [
36545,
4283,
21887
] | Train |
37,810 | 24 | Title: RLSynC: Offline-Online Reinforcement Learning for Synthon Completion
Abstract: Retrosynthesis is the process of determining the set of reactant molecules that can react to form a desired product. Semi-template-based retrosynthesis methods, which imitate the reverse logic of synthesis reactions, first predict the... | [
41136
] | Train |
37,811 | 6 | Title: Lightweight usable cryptography: a usability evaluation of the Ascon 1.2 family
Abstract: We present a usability study of the Ascon 1.2 family of cryptographic algorithms. As far as we know, this is the first published experimental evaluation aimed at a cryptographic design (i.e. not a specific API) with the pur... | [] | Train |
37,812 | 30 | Title: Cross-Domain Toxic Spans Detection
Abstract: nan | [] | Train |
37,813 | 16 | Title: Emergence of Segmentation with Minimalistic White-Box Transformers
Abstract: Transformer-like models for vision tasks have recently proven effective for a wide range of downstream applications such as segmentation and detection. Previous works have shown that segmentation properties emerge in vision transformers... | [
34819,
4643,
39628,
8206
] | Train |
37,814 | 30 | Title: Privacy Implications of Retrieval-Based Language Models
Abstract: Retrieval-based language models (LMs) have demonstrated improved interpretability, factuality, and adaptability compared to their parametric counterparts, by incorporating retrieved text from external datastores. While it is well known that parame... | [
1009,
10947
] | Validation |
37,815 | 16 | Title: StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models
Abstract: Content and style (C-S) disentanglement is a fundamental problem and critical challenge of style transfer. Existing approaches based on explicit definitions (e.g., Gram matrix) or implicit learning (e.g., GANs) are neither in... | [
41146
] | Validation |
37,816 | 4 | Title: Proof of reserves and non-double spends for Chaumian Mints
Abstract: E-cash was invented in 1982 by David Chaum as an anonymous cryptographic electronic cash system based on blind signatures. It is not a decentralized form of money as Bitcoin. It requires trust on the server or Mint issuing the e-cash tokens and... | [] | Validation |
37,817 | 24 | Title: Learning with Exposure Constraints in Recommendation Systems
Abstract: Recommendation systems are dynamic economic systems that balance the needs of multiple stakeholders. A recent line of work studies incentives from the content providers’ point of view. Content providers, e.g., vloggers and bloggers, contribut... | [
12386
] | Train |
37,818 | 10 | Title: Bridging the Emotional Semantic Gap via Multimodal Relevance Estimation
Abstract: Human beings have rich ways of emotional expressions, including facial action, voice, and natural languages. Due to the diversity and complexity of different individuals, the emotions expressed by various modalities may be semantic... | [] | Train |
37,819 | 30 | Title: Approaches to Corpus Creation for Low-Resource Language Technology: the Case of Southern Kurdish and Laki
Abstract: One of the major challenges that under-represented and endangered language communities face in language technology is the lack or paucity of language data. This is also the case of the Southern var... | [
46020
] | Train |
37,820 | 4 | Title: Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks
Abstract: One of the most significant challenges in the field of software code auditing is the presence of vulnerabilities in software source code. Every year, more and more software flaws are discovered, ei... | [
7801,
2354,
27670
] | Train |
37,821 | 31 | Title: HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting
Abstract: Medical decision-making processes can be enhanced by comprehensive biomedical knowledge bases, which require fusing knowledge graphs constructed from different sources via a uniform index system. The index system often orga... | [
10224,
11476,
25653,
35405
] | Train |
37,822 | 3 | Title: The Future of Cybersecurity in Southeast Asia along the Maritime Silk Road
Abstract: This paper proposes an analysis of the prospects of the cyber security industry and educational ecosystems in four Southeast Asian countries, namely Vietnam, Singapore, Malaysia, and Indonesia, which are along the Maritime Silk ... | [] | Train |
37,823 | 31 | Title: Ontology-based Solution for Building an Intelligent Searching System on Traffic Law Documents
Abstract: In this paper, an ontology-based approach is used to organize the knowledge base of legal documents in road traffic law. This knowledge model is built by the improvement of ontology Rela-model. In addition, se... | [] | Train |
37,824 | 24 | Title: Improving Online Continual Learning Performance and Stability with Temporal Ensembles
Abstract: Neural networks are very effective when trained on large datasets for a large number of iterations. However, when they are trained on non-stationary streams of data and in an online fashion, their performance is reduc... | [
23466
] | Train |
37,825 | 5 | Title: Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs
Abstract: General Matrix Multiplication (GEMM) is a crucial algorithm for various applications such as machine learning and scientific computing since an efficient GEMM implementation is essential for the performance of these calculations. Whil... | [
12412,
18479
] | Train |
37,826 | 9 | Title: On Approximability of Satisfiable k-CSPs: IV
Abstract: We prove a stability result for general $3$-wise correlations over distributions satisfying mild connectivity properties. More concretely, we show that if $\Sigma,\Gamma$ and $\Phi$ are alphabets of constant size, and $\mu$ is a pairwise connected distributi... | [
11705
] | Test |
37,827 | 30 | Title: KESDT: knowledge enhanced shallow and deep Transformer for detecting adverse drug reactions
Abstract: Adverse drug reaction (ADR) detection is an essential task in the medical field, as ADRs have a gravely detrimental impact on patients' health and the healthcare system. Due to a large number of people sharing i... | [] | Train |
37,828 | 24 | Title: Investigating Poor Performance Regions of Black Boxes: LIME-based Exploration in Sepsis Detection
Abstract: Interpreting machine learning models remains a challenge, hindering their adoption in clinical settings. This paper proposes leveraging Local Interpretable Model-Agnostic Explanations (LIME) to provide int... | [] | Train |
37,829 | 31 | Title: Economic Recommender Systems - A Systematic Review
Abstract: Many of today's online services provide personalized recommendations to their users. Such recommendations are typically designed to serve certain user needs, e.g., to quickly find relevant content in situations of information overload. Correspondingly,... | [] | Train |
37,830 | 34 | Title: Improved Approximate Distance Oracles: Bypassing the Thorup-Zwick Bound in Dense Graphs
Abstract: Despite extensive research on distance oracles, there are still large gaps between the best constructions for spanners and distance oracles. Notably, there exist sparse spanners with a multiplicative stretch of $1+\... | [] | Train |
37,831 | 24 | Title: Fast Gumbel-Max Sketch and its Applications
Abstract: The well-known Gumbel-Max Trick for sampling elements from a categorical distribution (or more generally a non-negative vector) and its variants have been widely used in areas such as machine learning and information retrieval. To sample a random element <inl... | [] | Validation |
37,832 | 27 | Title: End-to-end Autonomous Driving: Challenges and Frontiers
Abstract: The autonomous driving community has witnessed a rapid growth in approaches that embrace an end-to-end algorithm framework, utilizing raw sensor input to generate vehicle motion plans, instead of concentrating on individual tasks such as detection... | [
13700,
39047,
20504,
13594,
29851,
32157,
22943,
10143,
8610,
4643,
295,
555,
2756,
33220,
43720,
11725,
34017,
31077,
29415,
18283,
18544,
23285,
20345
] | Train |
37,833 | 31 | Title: Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation
Abstract: Continual learning refers to the capability of a machine learning model to learn and adapt to new information, without compromising its performance on previously learned tasks... | [] | Train |
37,834 | 27 | Title: Graph-based Global Robot Localization Informing Situational Graphs with Architectural Graphs
Abstract: In this paper, we propose a solution for legged robot localization using architectural plans. Our specific contributions towards this goal are several. Firstly, we develop a method for converting the plan of a ... | [
23780,
40678
] | Train |
37,835 | 4 | Title: Beware of Pickpockets: A Practical Attack against Blocking Cards
Abstract: Today, we rely on contactless smart cards to perform several critical operations (e.g., payments and accessing buildings). Attacking smart cards can have severe consequences, such as losing money or leaking sensitive information. Although... | [] | Train |
37,836 | 39 | Title: Optimal Pure Strategies for a Discrete Search Game
Abstract: Consider a two-person zero-sum search game between a Hider and a Searcher. The Hider chooses to hide in one of $n$ discrete locations (or"boxes") and the Searcher chooses a search sequence specifying which order to look in these boxes until finding the... | [] | Train |
37,837 | 24 | Title: QAmplifyNet: Pushing the Boundaries of Supply Chain Backorder Prediction Using Interpretable Hybrid Quantum - Classical Neural Network
Abstract: Supply chain management relies on accurate backorder prediction for optimizing inventory control, reducing costs, and enhancing customer satisfaction. However, traditio... | [] | Test |
37,838 | 16 | Title: Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation
Abstract: Estimating the head pose of a person is a crucial problem for numerous applications that is yet mainly addressed as a subtask of frontal pose prediction. We present a novel method for unconstrained end-to-end head pose estimat... | [] | Train |
37,839 | 8 | Title: IntLearner: AI-enabled Interference Mitigation for Wireless Networks
Abstract: The future Six-Generation (6G) envisions massive access of wireless devices in the network, leading to more serious interference from concurrent transmissions between wireless devices in the same frequency band. Existing interference ... | [] | Train |
37,840 | 24 | Title: Inductive Link Prediction for Both New Nodes and New Relation Types via Double Equivariance
Abstract: Despite recent advances in relational learning, the task of inductive link prediction in discrete attributed multigraphs with both new nodes and new relation types in test remains an open problem. In this work w... | [
18722,
34211,
40147
] | Train |
37,841 | 16 | Title: Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives
Abstract: Automatic radiology report generation is challenging as medical images or reports are usually similar to each other due to the common content of anatomy. This makes a model hard to capture the uniqueness of individual im... | [] | Train |
37,842 | 31 | Title: Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation
Abstract: With the development of the online education system, personalized education recommendation has played an essential role. In this paper, we focus on developing path recommendation systems that aim to generating and recommending an ... | [] | Train |
37,843 | 24 | Title: Revisiting Lightweight Compiler Provenance Recovery on ARM Binaries
Abstract: A binary’s behavior is greatly influenced by how the compiler builds its source code. Although most compiler configuration details are abstracted away during compilation, recovering them is useful for reverse engineering and program co... | [
16559
] | Train |
37,844 | 16 | Title: Mask Frozen-DETR: High Quality Instance Segmentation with One GPU
Abstract: In this paper, we aim to study how to build a strong instance segmenter with minimal training time and GPUs, as opposed to the majority of current approaches that pursue more accurate instance segmenter by building more advanced framewor... | [
43297
] | Train |
37,845 | 24 | Title: Efficient Estimation of the Local Robustness of Machine Learning Models
Abstract: Machine learning models often need to be robust to noisy input data. Real-world noise (such as measurement noise) is often random and the effect of such noise on model predictions is captured by a model's local robustness, i.e., th... | [] | Test |
37,846 | 25 | Title: Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction
Abstract: In deep learning research, many melody extraction models rely on redesigning neural network architectures to improve performance. In this paper, we propose an input feature modification and a training objectiv... | [] | Validation |
37,847 | 23 | Title: Persona-based Assessment of Software Engineering Student Research Projects: An Experience Report
Abstract: Students enrolled in software engineering degrees are generally required to undertake a research project in their final year through which they demonstrate the ability to conduct research, communicate outco... | [] | Test |
37,848 | 10 | Title: Agent Teaming Situation Awareness (ATSA): A Situation Awareness Framework for Human-AI Teaming
Abstract: The rapid advancements in artificial intelligence (AI) have led to a growing trend of human-AI teaming (HAT) in various fields. As machines continue to evolve from mere automation to a state of autonomy, they... | [] | Test |
37,849 | 16 | Title: Efficient Visual Fault Detection for Freight Train Braking System via Heterogeneous Self Distillation in the Wild
Abstract: Efficient visual fault detection of freight trains is a critical part of ensuring the safe operation of railways under the restricted hardware environment. Although deep learning-based appr... | [] | Test |
37,850 | 24 | Title: Internal-Coordinate Density Modelling of Protein Structure: Covariance Matters
Abstract: After the recent ground-breaking advances in protein structure prediction, one of the remaining challenges in protein machine learning is to reliably predict distributions of structural states. Parametric models of small-sca... | [] | Train |
37,851 | 16 | Title: SAMUS: Adapting Segment Anything Model for Clinically-Friendly and Generalizable Ultrasound Image Segmentation
Abstract: Segment anything model (SAM), an eminent universal image segmentation model, has recently gathered considerable attention within the domain of medical image segmentation. Despite the remarkabl... | [
21765,
19907,
13805
] | Test |
37,852 | 36 | Title: Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games
Abstract: Adversarial team games model multiplayer strategic interactions in which a team of identically-interested players is competing against an adversarial player in a zero-sum game. Such games capture many well-studied setting... | [
1851,
14382
] | Test |
37,853 | 6 | Title: Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making
Abstract: In AI-assisted decision-making, it is critical for human decision-makers to know when to trust AI and when to trust themselves. However, prior studies calibrated ... | [
5832,
23510
] | Test |
37,854 | 30 | Title: DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules
Abstract: Existing large language models (LLMs) that mainly focus on Standard American English (SAE) often lead to significantly worse performance when being applied to other English dialects. While existing mitigations tackle discrepancies for... | [
40257,
33220,
29396
] | Train |
37,855 | 26 | Title: Evaluating the Ebb and Flow: An In-depth Analysis of Question-Answering Trends across Diverse Platforms
Abstract: Community Question Answering (CQA) platforms steadily gain popularity as they provide users with fast responses to their queries. The swiftness of these responses is contingent on a mixture of query-... | [
1615
] | Test |
37,856 | 16 | Title: Few-shot Camouflaged Animal Detection and Segmentation
Abstract: Camouflaged object detection and segmentation is a new and challenging research topic in computer vision. There is a serious issue of lacking data of camouflaged objects such as camouflaged animals in natural scenes. In this paper, we address the p... | [] | Test |
37,857 | 30 | Title: Evaluation of Faithfulness Using the Longest Supported Subsequence
Abstract: As increasingly sophisticated language models emerge, their trustworthiness becomes a pivotal issue, especially in tasks such as summarization and question-answering. Ensuring their responses are contextually grounded and faithful is ch... | [
13700
] | Test |
37,858 | 13 | Title: ElegansNet: a brief scientific report and initial experiments
Abstract: This research report introduces ElegansNet, a neural network that mimics real-world neuronal network circuitry, with the goal of better understanding the interplay between connectome topology and deep learning systems. The proposed approach ... | [] | Train |
37,859 | 16 | Title: Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
Abstract: Given an image set without any labels, our goal is to train a model that maps each image to a point in a feature space such that, not only proximity indicates visual similarity, but where it is located directly encodes how prototyp... | [] | Train |
37,860 | 27 | Title: Multi-Object Manipulation via Object-Centric Neural Scattering Functions
Abstract: Learned visual dynamics models have proven effective for robotic manipulation tasks. Yet, it remains unclear how best to represent scenes involving multi-object interactions. Current methods decompose a scene into discrete objects... | [
35282,
2014
] | Test |
37,861 | 16 | Title: CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
Abstract: This paper proposes a novel diffusion-based model, CompoDiff, for solving Composed Image Retrieval (CIR) with latent diffusion and presents a newly created dataset of 18 million reference images, conditions, and corresponding target im... | [
38552,
14733,
38135
] | Train |
37,862 | 24 | Title: Understanding Noise-Augmented Training for Randomized Smoothing
Abstract: Randomized smoothing is a technique for providing provable robustness guarantees against adversarial attacks while making minimal assumptions about a classifier. This method relies on taking a majority vote of any base classifier over mult... | [] | Train |
37,863 | 24 | Title: Simplified Temporal Consistency Reinforcement Learning
Abstract: Reinforcement learning is able to solve complex sequential decision-making tasks but is currently limited by sample efficiency and required computation. To improve sample efficiency, recent work focuses on model-based RL which interleaves model lea... | [
22816
] | Train |
37,864 | 8 | Title: An Architecture for Control Plane Slicing in Beyond 5G Networks
Abstract: To accommodate various use cases with differing characteristics, the Fifth Generation (5G) mobile communications system intends to utilize network slicing. Network slicing enables the creation of multiple logical networks over a shared phy... | [
14265
] | Test |
37,865 | 8 | Title: FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals
Abstract: Floor labels of crowdsourced RF signals are crucial for many smart-city applications, such as multi-floor indoor localization, geofencing, and robot surveillance. To build a prediction model to identify the floor number of ... | [
23367
] | Test |
37,866 | 39 | Title: Cover Your Bases: How to Minimize the Sequencing Coverage in DNA Storage Systems
Abstract: Although the expenses associated with DNA sequencing have been rapidly decreasing, the current cost stands at roughly $1.3K/TB, which is dramatically more expensive than reading from existing archival storage solutions tod... | [] | Train |
37,867 | 16 | Title: Rumor Classification through a Multimodal Fusion Framework and Ensemble Learning
Abstract: nan | [] | Train |
37,868 | 16 | Title: Bytes Are All You Need: Transformers Operating Directly On File Bytes
Abstract: Modern deep learning approaches usually transform inputs into a modality-specific form. For example, the most common deep learning approach to image classification involves decoding image file bytes into an RGB tensor which is passed... | [
11229
] | Test |
37,869 | 5 | Title: Design and Development of a Java Parallel I/O Library
Abstract: Parallel I/O refers to the ability of scientific programs to concurrently read/write from/to a single file from multiple processes executing on distributed memory platforms like compute clusters. In the HPC world, I/O becomes a significant bottlenec... | [] | Train |
37,870 | 3 | Title: Demonstrations of the Potential of AI-based Political Issue Polling
Abstract: Political polling is a multi-billion dollar industry with outsized influence on the societal trajectory of the United States and nations around the world. However, it has been challenged by factors that stress its cost, availability, a... | [
12067,
40006,
37742,
40304,
28980
] | Train |
37,871 | 5 | Title: Federated Fog Computing for Remote Industry 4.0 Applications
Abstract: Industry 4.0 operates based on IoT devices, sensors, and actuators, transforming the use of computing resources and software solutions in diverse sectors. Various Industry 4.0 latency-sensitive applications function based on machine learning ... | [] | Test |
37,872 | 16 | Title: Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
Abstract: This work proposes POMP, a prompt pre-training method for vision-language models. Being memory and computation efficient, POMP enables the learned prompt to condense semantic information for a rich set of visual con... | [
19909,
3118
] | Train |
37,873 | 30 | Title: Discovering Mental Health Research Topics with Topic Modeling
Abstract: Mental health significantly influences various aspects of our daily lives, and its importance has been increasingly recognized by the research community and the general public, particularly in the wake of the COVID-19 pandemic. This heighten... | [] | Train |
37,874 | 16 | Title: Sharpend Cosine Similarity based Neural Network for Hyperspectral Image Classification
Abstract: Hyperspectral Image Classification (HSIC) is a difficult task due to high inter and intra-class similarity and variability, nested regions, and overlapping. 2D Convolutional Neural Networks (CNN) emerged as a viable ... | [] | Test |
37,875 | 9 | Title: On the Consistency of Circuit Lower Bounds for Non-deterministic Time
Abstract: We prove the first unconditional consistency result for superpolynomial circuit lower bounds with a relatively strong theory of bounded arithmetic. Namely, we show that the theory V20 is consistent with the conjecture that NEXP ⊈ P/p... | [] | Validation |
37,876 | 31 | Title: AutoSeqRec: Autoencoder for Efficient Sequential Recommendation
Abstract: Sequential recommendation demonstrates the capability to recommend items by modeling the sequential behavior of users. Traditional methods typically treat users as sequences of items, overlooking the collaborative relationships among them.... | [
34128
] | Train |
37,877 | 27 | Title: Formal Verification of Safety Architectures for Automated Driving
Abstract: Safety architectures play a crucial role in the safety assurance of automated driving vehicles (ADVs). They can be used as safety envelopes of black-box ADV controllers, and for graceful degradation from one ODD to another. Building on o... | [
22999
] | Validation |
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