node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
26,178 | 28 | Title: A collection of the data coding means and event coding means multiplexed over and inside the 1000BASE-T PMA sublayer
Abstract: This collection bundles the following memos dedicated to Gigabit Ethernet, type 1000BASE-T: [1]"Data Coding Means and Event Coding Means Multiplexed Over the 1000BASE-T PMA Sublayer"(ext... | [] | Train |
26,179 | 16 | Title: Improving 2D Human Pose Estimation across Unseen Camera Views with Synthetic Data
Abstract: Human Pose Estimation is a thoroughly researched problem; however, most datasets focus on the side and front-view scenarios. We address the limitation by proposing a novel approach that tackles the challenges posed by ext... | [
41768,
34074,
41707,
862
] | Test |
26,180 | 4 | Title: An analysis of scam baiting calls: Identifying and extracting scam stages and scripts
Abstract: Phone scams remain a difficult problem to tackle due to the combination of protocol limitations, legal enforcement challenges and advances in technology enabling attackers to hide their identities and reduce costs. Sc... | [] | Train |
26,181 | 24 | Title: Graph Fourier MMD for Signals on Graphs
Abstract: While numerous methods have been proposed for computing distances between probability distributions in Euclidean space, relatively little attention has been given to computing such distances for distributions on graphs. However, there has been a marked increase i... | [] | Validation |
26,182 | 16 | Title: Hierarchical Cross-modal Transformer for RGB-D Salient Object Detection
Abstract: Most of existing RGB-D salient object detection (SOD) methods follow the CNN-based paradigm, which is unable to model long-range dependencies across space and modalities due to the natural locality of CNNs. Here we propose the Hier... | [] | Train |
26,183 | 16 | Title: Heteroskedastic Geospatial Tracking with Distributed Camera Networks
Abstract: Visual object tracking has seen significant progress in recent years. However, the vast majority of this work focuses on tracking objects within the image plane of a single camera and ignores the uncertainty associated with predicted ... | [] | Train |
26,184 | 10 | Title: An efficient solver for ASP(Q)
Abstract:
Answer Set Programming with Quantifiers ASP(Q) extends Answer Set Programming (ASP) to allow for declarative and modular modeling of problems from the entire polynomial hierarchy. The first implementation of ASP(Q), called QASP, was based on a translation to Quantified ... | [] | Train |
26,185 | 24 | Title: Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks
Abstract: Deep Neural Networks (DNNs) have been used to solve different day-to-day problems. Recently, DNNs have been deployed in real-time systems, and lowering the energy consumption and response time ... | [
14564
] | Validation |
26,186 | 30 | Title: Toward Unified Controllable Text Generation via Regular Expression Instruction
Abstract: Controllable text generation is a fundamental aspect of natural language generation, with numerous methods proposed for different constraint types. However, these approaches often require significant architectural or decodin... | [
32252
] | Test |
26,187 | 5 | Title: A Dynamic Distributed Scheduler for Computing on the Edge
Abstract: Edge computing has become a promising computing paradigm for building IoT (Internet of Things) applications, particularly for applications with specific constraints such as latency or privacy requirements. Due to resource constraints at the edge... | [] | Validation |
26,188 | 16 | Title: Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study
Abstract: The excellent performance of deep neural networks is usually accompanied by a large number of parameters and computations, which have limited their usage on the resource- limited edge devices. To address this issue,... | [] | Train |
26,189 | 10 | Title: Handling the inconsistency of systems of min→ fuzzy relational equations
Abstract: In this article, we study the inconsistency of systems of $\min-\rightarrow$ fuzzy relational equations. We give analytical formulas for computing the Chebyshev distances $\nabla = \inf_{d \in \mathcal{D}} \Vert \beta - d \Vert$ a... | [] | Train |
26,190 | 31 | Title: A Collaborative Transfer Learning Framework for Cross-domain Recommendation
Abstract: In the recommendation systems, there are multiple business domains to meet the diverse interests and needs of users, and the click-through rate(CTR) of each domain can be quite different, which leads to the demand for CTR predi... | [
7097
] | Train |
26,191 | 24 | Title: Efficiently Counting Substructures by Subgraph GNNs without Running GNN on Subgraphs
Abstract: Using graph neural networks (GNNs) to approximate specific functions such as counting graph substructures is a recent trend in graph learning. Among these works, a popular way is to use subgraph GNNs, which decompose t... | [
33346,
21891,
32060,
46143
] | Train |
26,192 | 4 | Title: TBDetector: Transformer-Based Detector for Advanced Persistent Threats with Provenance Graph
Abstract: APT detection is difficult to detect due to the long-term latency, covert and slow multistage attack patterns of Advanced Persistent Threat (APT). To tackle these issues, we propose TBDetector, a transformer-ba... | [] | Train |
26,193 | 16 | Title: Maximal Domain Independent Representations Improve Transfer Learning
Abstract: Domain adaptation (DA) adapts a training dataset from a source domain for use in a learning task in a target domain in combination with data available at the target. One popular approach for DA is to create a domain-independent repres... | [] | Train |
26,194 | 30 | Title: OCR Language Models with Custom Vocabularies
Abstract: nan | [] | Train |
26,195 | 3 | Title: Measuring Teachers' Visual Expertise Using the Gaze Relational Index Based on Real-world Eye-tracking Data and Varying Velocity Thresholds
Abstract: This article adds to the understanding of teachers' visual expertise by measuring visual information processing in real-world classrooms (mobile eye-tracking) with ... | [] | Train |
26,196 | 16 | Title: ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques
Abstract: Automatic art analysis employs different image processing techniques to classify and categorize works of art. When working with artistic images, we need to take into account furth... | [] | Train |
26,197 | 16 | Title: Towards Real-Time Analysis of Broadcast Badminton Videos
Abstract: Analysis of player movements is a crucial subset of sports analysis. Existing player movement analysis methods use recorded videos after the match is over. In this work, we propose an end-to-end framework for player movement analysis for badminto... | [] | Validation |
26,198 | 36 | Title: Participatory Budgeting Design for the Real World
Abstract: Participatory budgeting engages the public in the process of allocating public money to different types of projects. PB designs differ in how voters are asked to express their preferences over candidate projects and how these preferences are aggregated ... | [
30097,
19910,
12846,
37231
] | Validation |
26,199 | 26 | Title: Opportunities and Risks of LLMs for Scalable Deliberation with Polis
Abstract: Polis is a platform that leverages machine intelligence to scale up deliberative processes. In this paper, we explore the opportunities and risks associated with applying Large Language Models (LLMs) towards challenges with facilitati... | [
17920,
13700,
18764,
846,
13654,
28151,
39295
] | Train |
26,200 | 27 | Title: simPLE: a visuotactile method learned in simulation to precisely pick, localize, regrasp, and place objects
Abstract: Existing robotic systems have a clear tension between generality and precision. Deployed solutions for robotic manipulation tend to fall into the paradigm of one robot solving a single task, lack... | [] | Train |
26,201 | 4 | Title: Oops..! I Glitched It Again! How to Multi-Glitch the Glitching-Protections on ARM TrustZone-M
Abstract: Voltage Fault Injection (VFI), also known as power glitching, has proven to be a severe threat to real-world systems. In VFI attacks, the adversary disturbs the power-supply of the target-device forcing the de... | [] | Validation |
26,202 | 30 | Title: Language models are susceptible to incorrect patient self-diagnosis in medical applications
Abstract: Large language models (LLMs) are becoming increasingly relevant as a potential tool for healthcare, aiding communication between clinicians, researchers, and patients. However, traditional evaluations of LLMs on... | [
43641,
33220,
13029
] | Train |
26,203 | 36 | Title: LTL Reactive Synthesis with a Few Hints
Abstract: We study a variant of the problem of synthesizing Mealy machines that enforce LTL specifications against all possible behaviours of the environment including hostile ones. In the variant studied here, the user provides the high level LTL specification {\phi} of t... | [] | Test |
26,204 | 23 | Title: Reduce API Debugging Overhead via Knowledge Prepositioning
Abstract: OpenAPI indicates a behavior where producers offer Application Programming Interfaces (APIs) to help end-users access their data, resources, and services. Generally, API has many parameters that need to be entered. However, it is challenging fo... | [] | Train |
26,205 | 30 | Title: Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition
Abstract: Despite the recent success achieved by several two-stage prototypical networks in few-shot named entity recognition (NER) task, the over-detected false spans at span detection stage and the inaccurate and unstable prototypes at type ... | [] | Train |
26,206 | 16 | Title: CapDet: Unifying Dense Captioning and Open-World Detection Pretraining
Abstract: Benefiting from large-scale vision-language pre-training on image-text pairs, open-world detection methods have shown superior generalization ability under the zero-shot or few-shot detection settings. However, a pre-defined categor... | [
34937
] | Test |
26,207 | 24 | Title: deepFDEnet: A Novel Neural Network Architecture for Solving Fractional Differential Equations
Abstract: The primary goal of this research is to propose a novel architecture for a deep neural network that can solve fractional differential equations accurately. A Gaussian integration rule and a $L_1$ discretizatio... | [] | Validation |
26,208 | 24 | Title: Hyena Hierarchy: Towards Larger Convolutional Language Models
Abstract: Recent advances in deep learning have relied heavily on the use of large Transformers due to their ability to learn at scale. However, the core building block of Transformers, the attention operator, exhibits quadratic cost in sequence lengt... | [
11009,
6021,
23302,
14343,
37642,
19995,
6457,
27835,
39873,
23236,
35652,
4166,
38991,
33626,
10981,
2279,
26471,
23411,
45695
] | Test |
26,209 | 27 | Title: Multilegged matter transport: A framework for locomotion on noisy landscapes
Abstract: Whereas the transport of matter by wheeled vehicles or legged robots can be guaranteed in engineered landscapes such as roads or rails, locomotion prediction in complex environments such as collapsed buildings or crop fields r... | [
21979
] | Validation |
26,210 | 30 | Title: Shepherd: A Critic for Language Model Generation
Abstract: As large language models improve, there is increasing interest in techniques that leverage these models' capabilities to refine their own outputs. In this work, we introduce Shepherd, a language model specifically tuned to critique responses and suggest ... | [
38208,
13345,
13700,
12628,
28886,
19671,
6328,
1369,
39451,
17789,
24760,
23359
] | Test |
26,211 | 2 | Title: Free theorems from univalent reference types
Abstract: We develop a denotational semantics for general reference types in an impredicative version of guarded homotopy type theory, an adaptation of synthetic guarded domain theory to Voevodsky's univalent foundations. We observe for the first time the profound imp... | [] | Test |
26,212 | 8 | Title: Computing Offloading and Semantic Compression for Intelligent Computing Tasks in MEC Systems
Abstract: This paper investigates the intelligent computing task-oriented computing offloading and semantic compression in mobile edge computing (MEC) systems. With the popularity of intelligent applications in various i... | [
20062
] | Train |
26,213 | 16 | Title: Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels
Abstract: Multi-label classification is a widely encountered problem in daily life, where an instance can be associated with multiple classes. In theory, this is a supervised learning method that requires a large amount of ... | [] | Test |
26,214 | 27 | Title: Self-Supervised Prediction of the Intention to Interact with a Service Robot
Abstract: A service robot can provide a smoother interaction experience if it has the ability to proactively detect whether a nearby user intends to interact, in order to adapt its behavior e.g. by explicitly showing that it is availabl... | [
40416
] | Test |
26,215 | 24 | Title: Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization
Abstract: Distributed learning paradigms, such as federated or decentralized learning, allow a collection of agents to solve global learning and optimization problems through limited local interactions. Most such strategies rely on... | [] | Train |
26,216 | 16 | Title: High-fidelity 3D Human Digitization from Single 2K Resolution Images
Abstract: High-quality 3D human body reconstruction requires high-fidelity and large-scale training data and appropriate network design that effectively exploits the high-resolution input images. To tackle these problems, we propose a simple ye... | [
23593,
39340
] | Train |
26,217 | 4 | Title: TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture
Abstract: This paper presents TT-TFHE, a deep neural network Fully Homomorphic Encryption (FHE) framework that effectively scales Torus FHE (TFHE) usage to tabular and image datasets using a recent family of convolutional neural n... | [] | Train |
26,218 | 27 | Title: Diffusion Co-Policy for Synergistic Human-Robot Collaborative Tasks
Abstract: Modeling multimodal human behavior accurately has been a key barrier to increasing the level of interaction between human and robot, particularly for collaborative tasks. Our key insight is that the predictive accuracy of human behavio... | [
8994
] | Train |
26,219 | 27 | Title: SACSoN: Scalable Autonomous Control for Social Navigation
Abstract: Machine learning provides a powerful tool for building socially compliant robotic systems that go beyond simple predictive models of human behavior. By observing and understanding human interactions from past experiences, learning can enable eff... | [] | Train |
26,220 | 27 | Title: Towards Continuous Time Finite Horizon LQR Control in SE(3)
Abstract: The control of free-floating robots requires dealing with several challenges. The motion of such robots evolves on a continuous manifold described by the Special Euclidean Group of dimension 3, known as SE(3). Methods from finite horizon Linea... | [] | Train |
26,221 | 24 | Title: Improved Auto-Encoding using Deterministic Projected Belief Networks
Abstract: In this paper, we exploit the unique properties of a deterministic projected belief network (D-PBN) to take full advantage of trainable compound activation functions (TCAs). A D-PBN is a type of auto-encoder that operates by"backing u... | [] | Test |
26,222 | 30 | Title: TaskLAMA: Probing the Complex Task Understanding of Language Models
Abstract: Structured Complex Task Decomposition (SCTD) is the problem of breaking down a complex real-world task (such as planning a wedding) into a directed acyclic graph over individual steps that contribute to achieving the task, with edges s... | [
35395,
18572,
27621,
40103
] | Train |
26,223 | 16 | Title: RoCNet: 3D Robust Registration of Point-Clouds using Deep Learning
Abstract: This paper introduces a new method for 3D point cloud registration based on deep learning. The architecture is composed of three distinct blocs: (i) an encoder composed of a convolutional graph-based descriptor that encodes the immediat... | [] | Train |
26,224 | 27 | Title: On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions
Abstract: Game theory offers an interpretable mathematical framework for modeling multi-agent interactions. However, its applicability in real-world robotics applications is hindered by several chall... | [
5225,
33412
] | Validation |
26,225 | 31 | Title: Harnessing the Power of Hugging Face Transformers for Predicting Mental Health Disorders in Social Networks
Abstract: Early diagnosis of mental disorders and intervention can facilitate the prevention of severe injuries and the improvement of treatment results. Using social media and pre-trained language models,... | [
14896,
38838,
8806
] | Validation |
26,226 | 4 | Title: FIDO2 the Rescue? Platform vs. Roaming Authentication on Smartphones
Abstract: Modern smartphones support FIDO2 passwordless authentication using either external security keys or internal biometric authentication, but it is unclear whether users appreciate and accept these new forms of web authentication for the... | [] | Test |
26,227 | 36 | Title: Leximin Approximation: From Single-Objective to Multi-Objective
Abstract: Leximin is a common approach to multi-objective optimization, frequently employed in fair division applications. In leximin optimization, one first aims to maximize the smallest objective value; subject to this, one maximizes the second-sm... | [] | Train |
26,228 | 13 | Title: Protein-Ligand Complex Generator & Drug Screening via Tiered Tensor Transform
Abstract: The generation of small molecule candidate (ligand) binding poses in its target protein pocket is important for computer-aided drug discovery. Typical rigid-body docking methods ignore the pocket flexibility of protein, while... | [] | Train |
26,229 | 16 | Title: COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentation
Abstract: Safe human-robot collaboration (HRC) has recently gained a lot of interest with the emerging Industry 5.0 paradigm. Conventional robots are being replaced with more intelligent and flexible collaborative robots (cobots). Safe... | [] | Test |
26,230 | 30 | Title: Syntax-guided Neural Module Distillation to Probe Compositionality in Sentence Embeddings
Abstract: Past work probing compositionality in sentence embedding models faces issues determining the causal impact of implicit syntax representations. Given a sentence, we construct a neural module net based on its syntax... | [] | Train |
26,231 | 16 | Title: Deep Equilibrium Object Detection
Abstract: Query-based object detectors directly decode image features into object instances with a set of learnable queries. These query vectors are progressively refined to stable meaningful representations through a sequence of decoder layers, and then used to directly predict... | [
29656
] | Validation |
26,232 | 27 | Title: A Framework for Active Haptic Guidance Using Robotic Haptic Proxies
Abstract: Haptic feedback is an important component of creating an immersive mixed reality experience. Traditionally, haptic forces are rendered in response to the user's interactions with the virtual environment. In this work, we explore the id... | [] | Validation |
26,233 | 24 | Title: On Learning Latent Models with Multi-Instance Weak Supervision
Abstract: We consider a weakly supervised learning scenario where the supervision signal is generated by a transition function $\sigma$ of labels associated with multiple input instances. We formulate this problem as \emph{multi-instance Partial Labe... | [
14539,
36278
] | Validation |
26,234 | 24 | Title: Batch Clipping and Adaptive Layerwise Clipping for Differential Private Stochastic Gradient Descent
Abstract: Each round in Differential Private Stochastic Gradient Descent (DPSGD) transmits a sum of clipped gradients obfuscated with Gaussian noise to a central server which uses this to update a global model whi... | [] | Train |
26,235 | 24 | Title: Scaling Goal-based Exploration via Pruning Proto-goals
Abstract: One of the gnarliest challenges in reinforcement learning (RL) is exploration that scales to vast domains, where novelty-, or coverage-seeking behaviour falls short. Goal-directed, purposeful behaviours are able to overcome this, but rely on a good... | [] | Train |
26,236 | 30 | Title: Simple and Scalable Nearest Neighbor Machine Translation
Abstract: $k$NN-MT is a straightforward yet powerful approach for fast domain adaptation, which directly plugs pre-trained neural machine translation (NMT) models with domain-specific token-level $k$-nearest-neighbor ($k$NN) retrieval to achieve domain ada... | [
10401,
27500
] | Test |
26,237 | 27 | Title: SOCRATES: Text-based Human Search and Approach using a Robot Dog
Abstract: In this paper, we propose a SOCratic model for Robots Approaching humans based on TExt System (SOCRATES) focusing on the human search and approach based on free-form textual description; the robot first searches for the target user, then ... | [] | Validation |
26,238 | 16 | Title: EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding
Abstract: We introduce EgoSchema, a very long-form video question-answering dataset, and benchmark to evaluate long video understanding capabilities of modern vision and language systems. Derived from Ego4D, EgoSchema consists of o... | [
33220
] | Train |
26,239 | 30 | Title: Minuteman: Machine and Human Joining Forces in Meeting Summarization
Abstract: Many meetings require creating a meeting summary to keep everyone up to date. Creating minutes of sufficient quality is however very cognitively demanding. Although we currently possess capable models for both audio speech recognition... | [
13700
] | Train |
26,240 | 16 | Title: NeutrEx: A 3D Quality Component Measure on Facial Expression Neutrality
Abstract: Accurate face recognition systems are increasingly important in sensitive applications like border control or migration management. Therefore, it becomes crucial to quantify the quality of facial images to ensure that low-quality i... | [] | Train |
26,241 | 16 | Title: Phantom Embeddings: Using Embeddings Space for Model Regularization in Deep Neural Networks
Abstract: The strength of machine learning models stems from their ability to learn complex function approximations from data; however, this strength also makes training deep neural networks challenging. Notably, the comp... | [] | Test |
26,242 | 31 | Title: Interactive Graph Convolutional Filtering
Abstract: Interactive Recommender Systems (IRS) have been increasingly used in various domains, including personalized article recommendation, social media, and online advertising. However, IRS faces significant challenges in providing accurate recommendations under limi... | [] | Train |
26,243 | 39 | Title: On 3-Coloring Circle Graphs
Abstract: Given a graph $G$ with a fixed vertex order $\prec$, one obtains a circle graph $H$ whose vertices are the edges of $G$ and where two such edges are adjacent if and only if their endpoints are pairwise distinct and alternate in $\prec$. Therefore, the problem of determining ... | [] | Train |
26,244 | 16 | Title: Relightify: Relightable 3D Faces from a Single Image via Diffusion Models
Abstract: Following the remarkable success of diffusion models on image generation, recent works have also demonstrated their impressive ability to address a number of inverse problems in an unsupervised way, by properly constraining the s... | [
8308,
28509
] | Validation |
26,245 | 36 | Title: Networked Anti-Coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence
Abstract: Evolutionary anti-coordination games on networks capture real-world strategic situations such as traffic routing and market competition. Two key problems concerning evolutionary games are the existence of a p... | [] | Train |
26,246 | 16 | Title: Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time
Abstract: Natural videos captured by consumer cameras often suffer from low framerate and motion blur due to the combination of dynamic scene complexity, lens and sensor imperfection, and less than ideal exposure setting. As a resul... | [] | Train |
26,247 | 30 | Title: Incorporating Attribution Importance for Improving Faithfulness Metrics
Abstract: Feature attribution methods (FAs) are popular approaches for providing insights into the model reasoning process of making predictions. The more faithful a FA is, the more accurately it reflects which parts of the input are more im... | [] | Train |
26,248 | 23 | Title: Reasoning on Feature Models: Compilation-Based vs. Direct Approaches
Abstract: Analyzing a Feature Model (FM) and reasoning on the corresponding configuration space is a central task in Software Product Line (SPL) engineering. Problems such as deciding the satisfiability of the FM and eliminating inconsistent pa... | [
17237
] | Train |
26,249 | 39 | Title: Broadcasting with Random Matrices
Abstract: Motivated by the theory of spin-glasses in physics, we study the so-called reconstruction problem for the related distributions on the tree, and on the sparse random graph $G(n,d/n)$. Both cases, reduce naturally to studying broadcasting models on the tree, where each ... | [] | Train |
26,250 | 23 | Title: Assessing the Impact of File Ordering Strategies on Code Review Process
Abstract: Popular modern code review tools (e.g., Gerrit and GitHub) sort files in a code review in alphabetical order. A prior study (on open-source projects) shows that the changed files’ positions in the code review affect the review proc... | [] | Train |
26,251 | 4 | Title: Towards Robust Model Watermark via Reducing Parametric Vulnerability
Abstract: Deep neural networks are valuable assets considering their commercial benefits and huge demands for costly annotation and computation resources. To protect the copyright of DNNs, backdoor-based ownership verification becomes popular r... | [
28441,
42093
] | Train |
26,252 | 31 | Title: Multi-Epoch Learning for Deep Click-Through Rate Prediction Models
Abstract: The one-epoch overfitting phenomenon has been widely observed in industrial Click-Through Rate (CTR) applications, where the model performance experiences a significant degradation at the beginning of the second epoch. Recent advances t... | [] | Train |
26,253 | 37 | Title: \"Uberpr\"ufung von Integrit\"atsbedingungen in Deduktiven Datenbanken
Abstract: Advancements in computer science and AI lead to the development of larger, more complex knowledge bases. These are susceptible to contradictions, particularly when multiple experts are involved. To ensure integrity during changes, p... | [] | Train |
26,254 | 3 | Title: Can AI Moderate Online Communities?
Abstract: The task of cultivating healthy communication in online communities becomes increasingly urgent, as gaming and social media experiences become progressively more immersive and life-like. We approach the challenge of moderating online communities by training student m... | [
12741
] | Train |
26,255 | 27 | Title: Zero-Shot Object Searching Using Large-scale Object Relationship Prior
Abstract: Home-assistant robots have been a long-standing research topic, and one of the biggest challenges is searching for required objects in housing environments. Previous object-goal navigation requires the robot to search for a target o... | [] | Validation |
26,256 | 24 | Title: Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher
Abstract: While federated learning is promising for privacy-preserving collaborative learning without revealing local data, it remains vulnerable to white-box attacks and struggles to adapt to heterogeneous clients. ... | [
1920,
43256
] | Train |
26,257 | 39 | Title: Lower Bound for Independence Covering in C4-Free Graphs
Abstract: An independent set in a graph $G$ is a set $S$ of pairwise non-adjacent vertices in $G$. A family $\mathcal{F}$ of independent sets in $G$ is called a $k$-independence covering family if for every independent set $I$ in $G$ of size at most $k$, th... | [
23449
] | Train |
26,258 | 16 | Title: 1st Place Solution for ECCV 2022 OOD-CV Challenge Object Detection Track
Abstract: . OOD-CV challenge ‡ is an out-of-distribution generalization task. To solve this problem in object detection track, we propose a simple yet effective Generalize-then-Adapt (G&A) framework, which is composed of a two-stage domain ... | [
12336,
43608
] | Train |
26,259 | 30 | Title: Applying unsupervised keyphrase methods on concepts extracted from discharge sheets
Abstract: Clinical notes containing valuable patient information are written by different health care providers with various scientific levels and writing styles. It might be helpful for clinicians and researchers to understand w... | [] | Validation |
26,260 | 27 | Title: Efficient Search and Detection of Relevant Plant Parts using Semantics-Aware Active Vision
Abstract: To automate harvesting and de-leafing of tomato plants using robots, it is important to search and detect the relevant plant parts, namely tomatoes, peduncles, and petioles. This is challenging due to high levels... | [] | Validation |
26,261 | 16 | Title: Optimizing the Procedure of CT Segmentation Labeling
Abstract: In Computed Tomography, machine learning is often used for automated data processing. However, increasing model complexity is accompanied by increasingly large volume datasets, which in turn increases the cost of model training. Unlike most work that... | [] | Train |
26,262 | 27 | Title: Exploiting Radio Fingerprints for Simultaneous Localization and Mapping
Abstract: Simultaneous localization and mapping (SLAM) is paramount for unmanned systems to achieve self-localization and navigation. It is challenging to perform SLAM in large environments, due to sensor limitations, complexity of the envir... | [] | Train |
26,263 | 30 | Title: A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System
Abstract: Human-in-the-loop topic modelling incorporates users’ knowledge into the modelling process, enabling them to refine the model iteratively. Recent research has demonstrated the value of user feedback, but there are still issues to co... | [] | Train |
26,264 | 16 | Title: EasyNet: An Easy Network for 3D Industrial Anomaly Detection
Abstract: 3D anomaly detection is an emerging and vital computer vision task in industrial manufacturing (IM). Recently many advanced algorithms have been published, but most of them cannot meet the needs of IM. There are several disadvantages: i) diff... | [
17581,
39761,
3217,
25910,
27414
] | Validation |
26,265 | 16 | Title: Language-Driven Anchors for Zero-Shot Adversarial Robustness
Abstract: Deep neural networks are known to be susceptible to adversarial attacks. In this work, we focus on improving adversarial robustness in the challenging zero-shot image classification setting. To address this issue, we propose LAAT, a novel Lan... | [
25754,
6551
] | Test |
26,266 | 5 | Title: FaaSched: A Jitter-Aware Serverless Scheduler
Abstract: Serverless computing systems are becoming very popular. Large corporations such as Netflix, Airbnb, and Coca-Cola use such systems for running their websites and IT systems. The advantages of such systems include superior support for auto-scaling, load bala... | [] | Test |
26,267 | 34 | Title: Improved Algorithms for Online Rent Minimization Problem Under Unit-Size Jobs
Abstract: We consider the Online Rent Minimization problem, where online jobs with release times, deadlines, and processing times must be scheduled on machines that can be rented for a fixed length period of $T$. The objective is to mi... | [] | Train |
26,268 | 24 | Title: VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
Abstract: GNN-to-MLP distillation aims to utilize knowledge distillation (KD) to learn computationally-efficient multi-layer perceptron (student MLP) on graph data by mimicking the output representations of teacher GNN. Existing methods ma... | [
16953,
5292,
23805
] | Train |
26,269 | 16 | Title: False Negative/Positive Control for SAM on Noisy Medical Images
Abstract: The Segment Anything Model (SAM) is a recently developed all-range foundation model for image segmentation. It can use sparse manual prompts such as bounding boxes to generate pixel-level segmentation in natural images but struggles in med... | [
19907,
28141,
4083,
8339,
44854,
25975,
14168
] | Validation |
26,270 | 30 | Title: Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis
Abstract: We propose using automatically generated natural language definitions of contextualised word usages as interpretable word and word sense representations.Given a collection of usage examples for a ta... | [] | Train |
26,271 | 16 | Title: Iterative Few-shot Semantic Segmentation from Image Label Text
Abstract: Few-shot semantic segmentation aims to learn to segment unseen class objects with the guidance of only a few support images. Most previous methods rely on the pixel-level label of support images. In this paper, we focus on a more challengin... | [
38480
] | Train |
26,272 | 23 | Title: STACC: Code Comment Classification using SentenceTransformers
Abstract: Code comments are a key resource for information about software artefacts. Depending on the use case, only some types of comments are useful. Thus, automatic approaches to clas-sify these comments have been proposed. In this work, we address... | [
31018,
17191
] | Train |
26,273 | 16 | Title: A Deep Active Contour Model for Delineating Glacier Calving Fronts
Abstract: Choosing how to encode a real-world problem as a machine learning task is an important design decision in machine learning. The task of the glacier calving front modeling has often been approached as a semantic segmentation task. Recent... | [] | Validation |
26,274 | 16 | Title: Aleth-NeRF: Low-light Condition View Synthesis with Concealing Fields
Abstract: Common capture low-light scenes are challenging for most computer vision techniques, including Neural Radiance Fields (NeRF). Vanilla NeRF is viewer-centred that simplifies the rendering process only as light emission from 3D locatio... | [
7076
] | Validation |
26,275 | 10 | Title: Why Do We Need Neuro-symbolic AI to Model Pragmatic Analogies?
Abstract: A hallmark of intelligence is the ability to use a familiar domain to make inferences about a less familiar domain, known as analogical reasoning. In this article, we delve into the performance of Large Language Models (LLMs) in dealing wit... | [
12602
] | Train |
26,276 | 24 | Title: Enhancing E-Commerce Recommendation using Pre-Trained Language Model and Fine-Tuning
Abstract: Pretrained Language Models (PLM) have been greatly successful on a board range of natural language processing (NLP) tasks. However, it has just started being applied to the domain of recommendation systems. Traditional... | [] | Test |
26,277 | 30 | Title: White-Box Multi-Objective Adversarial Attack on Dialogue Generation
Abstract: Pre-trained transformers are popular in state-of-the-art dialogue generation (DG) systems. Such language models are, however, vulnerable to various adversarial samples as studied in traditional tasks such as text classification, which ... | [
11857,
22122,
35924
] | Test |
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