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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|---|---|---|---|---|
34,178 | 30 | Title: Mini-Giants: "Small" Language Models and Open Source Win-Win
Abstract: ChatGPT is phenomenal. However, it is prohibitively expensive to train and refine such giant models. Fortunately, small language models are flourishing and becoming more and more competent. We call them"mini-giants". We argue that open source... | [
13700,
19720,
34956,
16909,
16014,
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3609,
34074,
43424,
40610,
19747,
8106,
33455,
31794,
14133,
5815,
29375,
5447,
14920,
975,
36179,
36695,
15963,
17517,
24308,
14966,
1401,
16891
] | Test |
34,179 | 4 | Title: Poster: Patient Community -- A Test Bed for Privacy Threat Analysis
Abstract: Research and development of privacy analysis tools currently suffers from a lack of test beds for evaluation and comparison of such tools. In this work, we propose a benchmark application that implements an extensive list of privacy we... | [] | Test |
34,180 | 27 | Title: Focus on the Challenges: Analysis of a User-friendly Data Search Approach with CLIP in the Automotive Domain
Abstract: Handling large amounts of data has become a key for developing automated driving systems. Especially for developing highly automated driving functions, working with images has become increasingl... | [] | Train |
34,181 | 20 | Title: Dynamic Convex Hulls under Window-Sliding Updates
Abstract: We consider the problem of dynamically maintaining the convex hull of a set $S$ of points in the plane under the following special sequence of insertions and deletions (called {\em window-sliding updates}): insert a point to the right of all points of $... | [] | Validation |
34,182 | 34 | Title: Local Computation Algorithms for Hypergraph Coloring - following Beck's approach (full version)
Abstract: We investigate local computation algorithms (LCA) for two-coloring of $k$-uniform hypergraphs. We focus on hypergraph instances that satisfy strengthened assumption of the Lov\'{a}sz Local Lemma of the form ... | [] | Train |
34,183 | 2 | Title: Free dcpo-algebras via directed spaces
Abstract: Directed spaces are natural topological extensions of dcpos in domain theory and form a cartesian closed category. We will show that the D-completion of free algebras over a Scott space $\Sigma L$, on the context of directed spaces, are exactly the free dcpo-algeb... | [] | Test |
34,184 | 16 | Title: Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
Abstract: Producing quality segmentation masks for images is a fundamental problem in computer vision. Recent research has explored large-scale supervised training to enable zero-shot segmentation on virtually any image styl... | [
32261,
37254,
15142,
8234,
42221
] | Train |
34,185 | 27 | Title: Resource-Constrained Station-Keeping for Helium Balloons using Reinforcement Learning
Abstract: High altitude balloons have proved useful for ecological aerial surveys, atmospheric monitoring, and communication relays. However, due to weight and power constraints, there is a need to investigate alternate modes o... | [] | Validation |
34,186 | 16 | Title: ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer
Abstract: The Transformer structures have been widely used in computer vision and have recently made an impact in the area of medical image registration. However, the use of Transformer in most registration networks is straightfor... | [] | Train |
34,187 | 14 | Title: Discovering Asymptotic Expansions Using Symbolic Regression
Abstract: Recently, symbolic regression (SR) has demonstrated its efficiency for discovering basic governing relations in physical systems. A major impact can be potentially achieved by coupling symbolic regression with asymptotic methodology. The main ... | [] | Validation |
34,188 | 28 | Title: Study of Enhanced Subset Greedy Multiuser Scheduling for Cell-Free Massive MIMO Systems
Abstract: In this work, we consider the problem of multiuser scheduling for the downlink of cell-free massive multi-input multi-output networks with clustering. In particular, we develop a multiuser scheduling algorithm based... | [] | Train |
34,189 | 4 | Title: Silent Killer: Optimizing Backdoor Trigger Yields a Stealthy and Powerful Data Poisoning Attack
Abstract: We propose a stealthy and powerful backdoor attack on neural networks based on data poisoning (DP). In contrast to previous attacks, both the poison and the trigger in our method are stealthy. We are able to... | [] | Validation |
34,190 | 11 | Title: Improving Zero-Shot Coordination Performance Based on Policy Similarity
Abstract: Over these years, multi-agent reinforcement learning have achieved remarkable performance in multi-agent planning and scheduling tasks. It typically follows the self-play setting, where agents are trained by playing with a fixed gr... | [] | Train |
34,191 | 26 | Title: Replacing the Renaissance Man: Are Teams More than the Sum of Their Parts?
Abstract: As science becomes more complex, the idea of assembling diverse teams of specialists--much like a blacksmith, a mason, and a carpenter coming together to form a Leonardo da Vinci--has gained traction as a key solution to achieve... | [] | Train |
34,192 | 24 | Title: Augment then Smooth: Reconciling Differential Privacy with Certified Robustness
Abstract: Machine learning models are susceptible to a variety of attacks that can erode trust in their deployment. These threats include attacks against the privacy of training data and adversarial examples that jeopardize model acc... | [] | Train |
34,193 | 24 | Title: Manifold Diffusion Fields
Abstract: We present Manifold Diffusion Fields (MDF), an approach to learn generative models of continuous functions defined over Riemannian manifolds. Leveraging insights from spectral geometry analysis, we define an intrinsic coordinate system on the manifold via the eigen-functions o... | [
28436
] | Train |
34,194 | 16 | Title: Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification
Abstract: Long-Term Person Re-Identification (LT-ReID) has become increasingly crucial in computer vision and biometrics. In this work, we aim to extend LT-ReID beyond pedestrian recognition to include a wider ran... | [
18144
] | Train |
34,195 | 20 | Title: Vector Field Based Volume Peeling for Multi-Axis Machining
Abstract: This paper presents an easy-to-control volume peeling method for multi-axis machining based on the computation taken on vector fields. The current scalar field based methods are not flexible and the vector-field based methods do not guarantee t... | [] | Train |
34,196 | 13 | Title: Brain in the Dark: Design Principles for Neuro-mimetic Learning and Inference
Abstract: Even though the brain operates in pure darkness, within the skull, it can infer the most likely causes of its sensory input. An approach to modelling this inference is to assume that the brain has a generative model of the wo... | [] | Train |
34,197 | 16 | Title: Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor
Abstract: Light-weight time-of-flight (ToF) depth sensors are compact and cost-efficient, and thus widely used on mobile devices for tasks such as autofocus and obstacle detection. However, due to the sparse and noisy depth... | [] | Train |
34,198 | 26 | Title: M-Centrality: identifying key nodes based on global position and local degree variation
Abstract: Identifying influential nodes in a network is a major issue due to the great deal of applications concerned, such as disease spreading and rumor dynamics. That is why, a plethora of centrality measures has emerged o... | [] | Test |
34,199 | 16 | Title: FocalDreamer: Text-driven 3D Editing via Focal-fusion Assembly
Abstract: While text-3D editing has made significant strides in leveraging score distillation sampling, emerging approaches still fall short in delivering separable, precise and consistent outcomes that are vital to content creation. In response, we ... | [
22464,
541,
31062,
40790,
34074,
27517
] | Train |
34,200 | 10 | Title: Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler
Abstract: Submodular functions play a key role in the area of optimization as they allow to model many real-world problems that face diminishing returns. Evolutionary algorithms have been shown to obtain strong theoretical performance... | [] | Train |
34,201 | 16 | Title: A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-Resolution
Abstract: In this paper, we develop a novel super-resolution algorithm for near-field synthetic-aperture radar (SAR) under irregular scanning geometries. As fifth-generation (5G) millimeter-wave (mmWave) devices are becoming in... | [
36293
] | Test |
34,202 | 30 | Title: Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers
Abstract: In recent years machine translation has become very successful for high-resource language pairs. This has also sparked new interest in research on the automatic translation of low-resource languages, ... | [
21161
] | Test |
34,203 | 24 | Title: Gaussian Process on the Product of Directional Manifolds
Abstract: We introduce a principled study on establishing Gaussian processes (GPs) with inputs on the product of directional manifolds. A circular kernel is first presented according to the von Mises distribution. Based thereon, the so-called hypertoroidal... | [] | Test |
34,204 | 27 | Title: Disturbance Preview for Nonlinear Model Predictive Trajectory Tracking of Underwater Vehicles in Wave Dominated Environments
Abstract: Operating in the near-vicinity of marine energy devices poses significant challenges to the control of underwater vehicles, predominantly due to the presence of large magnitude w... | [] | Validation |
34,205 | 5 | Title: Gradient TRIX
Abstract: Gradient clock synchronization (GCS) algorithms minimize the worst-case clock offset between the nodes in a distributed network of diameter π· and size π . They achieve optimal offsets of Ξ ( log π· ) locally, i.e. between adjacent nodes [18], and Ξ ( π· ) globally [2]. As demonstrated i... | [] | Train |
34,206 | 30 | Title: Promoting Open-domain Dialogue Generation through Learning Pattern Information between Contexts and Responses
Abstract: Recently, utilizing deep neural networks to build the opendomain dialogue models has become a hot topic. However, the responses generated by these models suffer from many problems such as respo... | [] | Train |
34,207 | 30 | Title: Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health
Abstract: Pretrained language models have been used in various natural language processing applications. In the mental health domain, domain-specific language models are pretrained and released, which facilitates... | [
38856,
33671
] | Validation |
34,208 | 30 | Title: OctoPack: Instruction Tuning Code Large Language Models
Abstract: Finetuning large language models (LLMs) on instructions leads to vast performance improvements on natural language tasks. We apply instruction tuning using code, leveraging the natural structure of Git commits, which pair code changes with human i... | [
14592,
18306,
29317,
25227,
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16911,
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15413,
36406,
5815,
6328,
25786,
25021,
29375,
38208,
39873,
32450,
13510,
1760... | Train |
34,209 | 2 | Title: Minimal modal logics, constructive modal logics and their relations
Abstract: We present a family of minimal modal logics (namely, modal logics based on minimal propositional logic) corresponding each to a different classical modal logic. The minimal modal logics are defined based on their classical counterparts... | [] | Validation |
34,210 | 24 | Title: Algorithmic failure as a humanities methodology: Machine learning's mispredictions identify rich cases for qualitative analysis
Abstract: This commentary tests a methodology proposed by Munk et al. (2022) for using failed predictions in machine learning as a method to identify ambiguous and rich cases for qualit... | [] | Train |
34,211 | 24 | Title: An OOD Multi-Task Perspective for Link Prediction with New Relation Types and Nodes
Abstract: The task of inductive link prediction in (discrete) attributed multigraphs infers missing attributed links (relations) between nodes in new test multigraphs. Traditional relational learning methods face the challenge of... | [
37840,
7946,
18722
] | Validation |
34,212 | 4 | Title: Does Prompt-Tuning Language Model Ensure Privacy?
Abstract: Prompt-tuning has received attention as an efficient tuning method in the language domain, i.e., tuning a prompt that is a few tokens long, while keeping the large language model frozen, yet achieving comparable performance with conventional fine-tuning... | [
38780
] | Validation |
34,213 | 16 | Title: A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants
Abstract: We present an end-to-end computer vision pipeline to detect non-nutritive sucking (NNS) -- an infant sucking pattern with no nutrition delivered -- as a potential biomarker for developmental... | [] | Test |
34,214 | 24 | Title: Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
Abstract: Auxiliary tasks improve the representations learned by deep reinforcement learning agents. Analytically, their effect is reasonably well understood; in practice, however, their primary use remains in support of a main learning o... | [
32,
15026,
24196,
32440
] | Test |
34,215 | 10 | Title: Imitating Human Behaviour with Diffusion Models
Abstract: Diffusion models have emerged as powerful generative models in the text-to-image domain. This paper studies their application as observation-to-action models for imitating human behaviour in sequential environments. Human behaviour is stochastic and multi... | [
40833,
9994,
37008,
16273,
29084,
29597,
8994,
16298,
40113,
14136,
43965,
1603,
12489,
24651,
13261,
14036,
35541,
7514,
37477,
20971,
8308,
39158,
32120,
17529,
18044
] | Test |
34,216 | 34 | Title: Density-Sensitive Algorithms for $(\Delta + 1)$-Edge Coloring
Abstract: Vizing's theorem asserts the existence of a {$(\Delta+1)$-edge coloring} for any graph $G$, where $\Delta = \Delta(G)$ denotes the maximum degree of $G$. Several polynomial time $(\Delta+1)$-edge coloring algorithms are known, and the state-... | [] | Validation |
34,217 | 30 | Title: A Conditional Generative Chatbot using Transformer Model
Abstract: A Chatbot serves as a communication tool between a human user and a machine to achieve an appropriate answer based on the human input. In more recent approaches, a combination of Natural Language Processing and sequential models are used to build... | [] | Test |
34,218 | 24 | Title: Training Differentially Private Graph Neural Networks with Random Walk Sampling
Abstract: Deep learning models are known to put the privacy of their training data at risk, which poses challenges for their safe and ethical release to the public. Differentially private stochastic gradient descent is the de facto s... | [
28840,
7159
] | Validation |
34,219 | 24 | Title: Guided Deep Kernel Learning
Abstract: Combining Gaussian processes with the expressive power of deep neural networks is commonly done nowadays through deep kernel learning (DKL). Unfortunately, due to the kernel optimization process, this often results in losing their Bayesian benefits. In this study, we present... | [] | Test |
34,220 | 24 | Title: Risk-Aware Reinforcement Learning through Optimal Transport Theory
Abstract: In the dynamic and uncertain environments where reinforcement learning (RL) operates, risk management becomes a crucial factor in ensuring reliable decision-making. Traditional RL approaches, while effective in reward optimization, ofte... | [] | Train |
34,221 | 24 | Title: Faster Robust Tensor Power Method for Arbitrary Order
Abstract: Tensor decomposition is a fundamental method used in various areas to deal with high-dimensional data. \emph{Tensor power method} (TPM) is one of the widely-used techniques in the decomposition of tensors. This paper presents a novel tensor power me... | [
26657,
34404,
12966,
29739,
13100,
4909,
8436,
7767
] | Train |
34,222 | 24 | Title: Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning
Abstract: Recent studies have shown great promise in unsupervised representation learning (URL) for multivariate time series, because URL has the capability in learning generalizable representation for many downstream... | [] | Validation |
34,223 | 3 | Title: Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST)
Abstract: Six years after the seminal paper on FAIR was published, researchers still struggle to understand how to implement FAIR. For many researchers FAIR promises long-term benefits ... | [] | Train |
34,224 | 5 | Title: Improved Distributed Algorithms for Random Colorings
Abstract: Markov Chain Monte Carlo (MCMC) algorithms are a widely-used algorithmic tool for sampling from high-dimensional distributions, a notable example is the equilibirum distribution of graphical models. The Glauber dynamics, also known as the Gibbs sampl... | [
9762
] | Train |
34,225 | 25 | Title: Modulation Graphs in Popular Music
Abstract: In this paper, graph theory is used to explore the musical notion of tonal modulation, in theory and application. We define (pivot) modulation graphs based on the common scales used in popular music. Properties and parameters of these graphs are discussed. We also inv... | [] | Train |
34,226 | 24 | Title: Label Information Bottleneck for Label Enhancement
Abstract: In this work, we focus on the challenging problem of Label Enhancement (LE), which aims to exactly recover label distributions from logical labels, and present a novel Label Information Bottleneck (LIB) method for LE. For the recovery process of label ... | [] | Test |
34,227 | 16 | Title: Unsupervised Pansharpening via Low-rank Diffusion Model
Abstract: Pansharpening is a process of merging a highresolution panchromatic (PAN) image and a low-resolution multispectral (LRMS) image to create a single high-resolution multispectral (HRMS) image. Most of the existing deep learningbased pansharpening me... | [
42100
] | Test |
34,228 | 27 | Title: TrajMatch: Towards Automatic Spatio-temporal Calibration for Roadside LiDARs through Trajectory Matching
Abstract: Recently, it has become popular to deploy sensors such as LiDARs on the roadside to monitor the passing traffic and assist autonomous vehicle perception. Unlike autonomous vehicle systems, roadside ... | [
13074
] | Train |
34,229 | 16 | Title: Leaping Into Memories: Space-Time Deep Feature Synthesis
Abstract: The success of deep learning models has led to their adaptation and adoption by prominent video understanding methods. The majority of these approaches encode features in a joint space-time modality for which the inner workings and learned repres... | [
13513
] | Train |
34,230 | 5 | Title: MS-BioGraphs: Sequence Similarity Graph Datasets
Abstract: Progress in High-Performance Computing in general, and High-Performance Graph Processing in particular, is highly dependent on the availability of publicly-accessible, relevant, and realistic data sets. To ensure continuation of this progress, we (i) inv... | [] | Train |
34,231 | 16 | Title: Two-level Graph Network for Few-Shot Class-Incremental Learning
Abstract: Few-shot class-incremental learning (FSCIL) aims to design machine learning algorithms that can continually learn new concepts from a few data points, without forgetting knowledge of old classes. The difficulty lies in that limited data fr... | [] | Validation |
34,232 | 17 | Title: Probabilistic Gradient-Based Extrema Tracking
Abstract: Feature tracking is a common task in visualization applications, where methods based on topological data analysis (TDA) have successfully been applied in the past for feature definition as well as tracking. In this work, we focus on tracking extrema of temp... | [] | Train |
34,233 | 24 | Title: Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning
Abstract: Adaptive learning is an area of educational technology that consists in delivering personalized learning experiences to address the unique needs of each learner. An important subfield of adaptive learning is learni... | [] | Train |
34,234 | 30 | Title: An Extended Sequence Tagging Vocabulary for Grammatical Error Correction
Abstract: We extend a current sequence-tagging approach to Grammatical Error Correction (GEC) by introducing specialised tags for spelling correction and morphological inflection using the SymSpell and LemmInflect algorithms. Our approach i... | [
8679
] | Train |
34,235 | 30 | Title: Token-Event-Role Structure-based Multi-Channel Document-Level Event Extraction
Abstract: Document-level event extraction is a long-standing challenging information retrieval problem involving a sequence of sub-tasks: entity extraction, event type judgment, and event type-specific multi-event extraction. However,... | [] | Train |
34,236 | 30 | Title: Using ChatGPT for Entity Matching
Abstract: Entity Matching is the task of deciding if two entity descriptions refer to the same real-world entity. State-of-the-art entity matching methods often rely on fine-tuning Transformer models such as BERT or RoBERTa. Two major drawbacks of using these models for entity m... | [
40192,
41448,
34475,
817,
26357,
35228
] | Train |
34,237 | 27 | Title: Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic
Abstract: Connectivity technology has shown great potentials in improving the safety and efficiency of transportation systems by providing information beyond the perception and prediction capabilities of individual vehicles. How... | [
28939,
22403
] | Train |
34,238 | 16 | Title: Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
Abstract: 3D-aware image synthesis encompasses a variety of tasks, such as scene generation and novel view synthesis from images. Despite numerous task-specific methods, developing a comprehensive model remains challenging. In th... | [
45634,
13059,
7076,
3912,
18632,
30835,
41174,
6488,
26941
] | Train |
34,239 | 16 | Title: Diverse Inpainting and Editing with GAN Inversion
Abstract: Recent inversion methods have shown that real images can be inverted into StyleGAN's latent space and numerous edits can be achieved on those images thanks to the semantically rich feature representations of well-trained GAN models. However, extensive r... | [
26854
] | Validation |
34,240 | 7 | Title: Equation-Free Computations as DDDAS Protocols for Bifurcation Studies: A Granular Chain Example
Abstract: This chapter discusses the development and implementation of algorithms based on Equation-Free/Dynamic Data Driven Applications Systems (EF/DDDAS) protocols for the computer-assisted study of the bifurcation... | [] | Test |
34,241 | 28 | Title: Near-Field Communications: A Degree-of-Freedom Perspective
Abstract: Multiple-antenna technologies are advancing towards large-scale aperture sizes and extremely high frequencies, leading to the emergence of near-field communications (NFC) in future wireless systems. To this context, we investigate the degree of... | [
14500,
39685,
9958
] | Test |
34,242 | 24 | Title: Machine Guided Discovery of Novel Carbon Capture Solvents
Abstract: The increasing importance of carbon capture technologies for deployment in remediating CO2 emissions, and thus the necessity to improve capture materials to allow scalability and efficiency, faces the challenge of materials development, which ca... | [] | Validation |
34,243 | 23 | Title: The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models
Abstract: Learning-based techniques, especially advanced Large Language Models (LLMs) for code, have gained considerable popularity in various software engineering (SE) tasks. However, most existing works focus on designin... | [
18984,
28274,
39826,
6301,
21759
] | Validation |
34,244 | 28 | Title: Near-optimal pilot assignment in cell-free massive MIMO
Abstract: The main source of performance degradation in cell-free massive MIMO is pilot contamination, which causes interference during uplink training and affects channel estimation negatively. Contamination occurs when the same pilot sequence is assigned ... | [] | Train |
34,245 | 4 | Title: Systematic Meets Unintended: Prior Knowledge Adaptive 5G Vulnerability Detection via Multi-Fuzzing
Abstract: The virtualization and softwarization of 5G and NextG are critical enablers of the shift to flexibility, but they also present a potential attack surface for threats. However, current security research in... | [
10338,
21995,
32253,
39741
] | Test |
34,246 | 27 | Title: PredRecon: A Prediction-boosted Planning Framework for Fast and High-quality Autonomous Aerial Reconstruction
Abstract: Autonomous UAV path planning for 3D reconstruction has been actively studied in various applications for high-quality 3D models. However, most existing works have adopted explore-then-exploit, ... | [
22328,
8601
] | Validation |
34,247 | 24 | Title: Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
Abstract: Time series forecasting has been a widely explored task of great importance in many applications. However, it is common that real-world time series data are recorded in a short time period, which results in a big gap betwee... | [
29857,
9928,
15529,
33390,
5075,
17941,
27257
] | Train |
34,248 | 23 | Title: Wasmizer: Curating WebAssembly-driven Projects on GitHub
Abstract: WebAssembly has attracted great attention as a portable compilation target for programming languages. To facilitate in-depth studies about this technology, we have deployed Wasmizer, a tool that regularly mines GitHub projects and makes an up-to-... | [] | Train |
34,249 | 30 | Title: Benchmarking Multilabel Topic Classification in the Kyrgyz Language
Abstract: Kyrgyz is a very underrepresented language in terms of modern natural language processing resources. In this work, we present a new public benchmark for topic classification in Kyrgyz, introducing a dataset based on collected and annot... | [
19714
] | Train |
34,250 | 16 | Title: Automated Semiconductor Defect Inspection in Scanning Electron Microscope Images: a Systematic Review
Abstract: A growing need exists for efficient and accurate methods for detecting defects in semiconductor materials and devices. These defects can have a detrimental impact on the efficiency of the manufacturing... | [
29883
] | Train |
34,251 | 5 | Title: 2P-BFT-Log: 2-Phase Single-Author Append-Only Log for Adversarial Environments
Abstract: Replicated append-only logs sequentially order messages from the same author such that their ordering can be eventually recovered even with out-of-order and unreliable dissemination of individual messages. They are widely us... | [
41149
] | Train |
34,252 | 8 | Title: Adaptive Services Function Chain Orchestration For Digital Health Twin Use Cases: Heuristic-boosted Q-Learning Approach
Abstract: Digital Twin (DT) is a prominent technology to utilise and deploy within the healthcare sector. Yet, the main challenges facing such applications are: strict health data-sharing polic... | [] | Train |
34,253 | 3 | Title: Towards a Capability Assessment Model for the Comprehension and Adoption of AI in Organisations
Abstract: The comprehension and adoption of Artificial Intelligence (AI) are beset with practical and ethical problems. This article presents a 5-level AI Capability Assessment Model (AI-CAM) and a related AI Capabili... | [] | Train |
34,254 | 4 | Title: Adversarial Attacks against Binary Similarity Systems
Abstract: In recent years, binary analysis gained traction as a fundamental approach to inspect software and guarantee its security. Due to the exponential increase of devices running software, much research is now moving towards new autonomous solutions base... | [] | Train |
34,255 | 16 | Title: DiffuVolume: Diffusion Model for Volume based Stereo Matching
Abstract: Stereo matching is a significant part in many computer vision tasks and driving-based applications. Recently cost volume-based methods have achieved great success benefiting from the rich geometry information in paired images. However, the r... | [
6389
] | Test |
34,256 | 16 | Title: Real-time Human Detection in Fire Scenarios using Infrared and Thermal Imaging Fusion
Abstract: Fire is considered one of the most serious threats to human lives which results in a high probability of fatalities. Those severe consequences stem from the heavy smoke emitted from a fire that mostly restricts the vi... | [] | Train |
34,257 | 16 | Title: Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation
Abstract: This paper studies a novel energy-based cooperative learning framework for multi-domain image-to-image translation. The framework consists of four components: descriptor, translator, style encoder, and style gener... | [
27886
] | Train |
34,258 | 27 | Title: Embodied Active Learning of Relational State Abstractions for Bilevel Planning
Abstract: State abstraction is an effective technique for planning in robotics environments with continuous states and actions, long task horizons, and sparse feedback. In object-oriented environments, predicates are a particularly us... | [
12465,
402
] | Validation |
34,259 | 34 | Title: A graph isomorphism invariant based on neighborhood aggregation
Abstract: This paper presents a new graph isomorphism invariant, called $\mathfrak{w}$-labeling, that can be used to design a polynomial-time algorithm for solving the graph isomorphism problem for various graph classes. For example, all non-cospect... | [] | Validation |
34,260 | 28 | Title: Optimal Power Assignment for MIMO Channels Under Joint Total and Per-Group Power Constraints
Abstract: In this paper we consider a communication system with one transmitter and one receiver. The transmit antennas are partitioned into disjoint groups, and each group must satisfy an average power constraint in add... | [] | Test |
34,261 | 24 | Title: Learning Not to Spoof
Abstract: As intelligent trading agents based on reinforcement learning (RL) gain prevalence, it becomes more important to ensure that RL agents obey laws, regulations, and human behavioral expectations. There is substantial literature concerning the aversion of obvious catastrophes like cr... | [] | Train |
34,262 | 6 | Title: Reflections on Designing and Running Visualization Design and Programming Activities in Courses with Many Students
Abstract: In this paper, we reflect on the educational challenges and research opportunities in running data visualization design activities in the context of large courses. With the increasing numb... | [
5083
] | Train |
34,263 | 30 | Title: GPT has become financially literate: Insights from financial literacy tests of GPT and a preliminary test of how people use it as a source of advice
Abstract: nan | [
14026,
17606,
13510
] | Train |
34,264 | 24 | Title: MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Scheme
Abstract: Causal inference permits us to discover covert relationships of various variables in time series. However, in most existing works, the variables mentioned above are the dimensions. The causality between dime... | [] | Test |
34,265 | 27 | Title: Embodied Self-Supervised Learning (EMSSL) with Sampling and Training Coordination for Robot Arm Inverse Kinematics Model Learning
Abstract: Forward and inverse kinematics models are fundamental to robot arms, serving as the basis for the robot arm's operational tasks. However, in model learning of robot arms, es... | [
44252,
27831
] | Test |
34,266 | 10 | Title: Top-Down Knowledge Compilation for Counting Modulo Theories
Abstract: Propositional model counting (#SAT) can be solved efficiently when the input formula is in deterministic decomposable negation normal form (d-DNNF). Translating an arbitrary formula into a representation that allows inference tasks, such as co... | [] | Validation |
34,267 | 30 | Title: RST-style Discourse Parsing Guided by Document-level Content Structures
Abstract: Rhetorical Structure Theory based Discourse Parsing (RST-DP) explores how clauses, sentences, and large text spans compose a whole discourse and presents the rhetorical structure as a hierarchical tree. Existing RST parsing pipelin... | [] | Train |
34,268 | 24 | Title: Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue
Abstract: In semi-supervised learning, student-teacher distribution matching has been successful in improving performance of models using unlabeled data in conjunction with few labeled samples. In this paper, we aim to replicate that ... | [] | Train |
34,269 | 10 | Title: Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning
Abstract: Deep Reinforcement Learning (DRL) has achieved remarkable success in sequential decision-making problems. However, existing DRL agents make decisions in an opaque fashion, hindering the user from establishing trust and scrutini... | [] | Validation |
34,270 | 1 | Title: Physical-aware Cross-modal Adversarial Network for Wearable Sensor-based Human Action Recognition
Abstract: Wearable sensor-based Human Action Recognition (HAR) has made significant strides in recent times. However, the accuracy performance of wearable sensor-based HAR is currently still lagging behind that of v... | [] | Train |
34,271 | 16 | Title: DAFD: Domain Adaptation via Feature Disentanglement for Image Classification
Abstract: , | [] | Validation |
34,272 | 24 | Title: LLT: An R package for Linear Law-based Feature Space Transformation
Abstract: The goal of the linear law-based feature space transformation (LLT) algorithm is to assist with the classification of univariate and multivariate time series. The presented R package, called LLT, implements this algorithm in a flexible... | [] | Train |
34,273 | 17 | Title: Generating Procedural Materials from Text or Image Prompts
Abstract: Node graph systems are used ubiquitously for material design in computer graphics. They allow the use of visual programming to achieve desired effects without writing code. As high-level design tools they provide convenience and flexibility, bu... | [
14861
] | Train |
34,274 | 27 | Title: Joint On-Manifold Gravity and Accelerometer Intrinsics Estimation
Abstract: Aligning a robot's trajectory or map to the inertial frame is a critical capability that is often difficult to do accurately even though inertial measurement units (IMUs) can observe absolute roll and pitch with respect to gravity. Accel... | [
32061
] | Test |
34,275 | 17 | Title: MusicFace: Music-driven Expressive Singing Face Synthesis
Abstract: It is still an interesting and challenging problem to synthesize a vivid and realistic singing face driven by music signal. In this paper, we present a method for this task with natural motions of the lip, facial expression, head pose, and eye s... | [] | Train |
34,276 | 10 | Title: Elementary Sets for Logic Programs
Abstract: By introducing the concepts of a loop and a loop formula, Lin and Zhao showed that the answer sets of a nondisjunctive logic program are exactly the models of its Clark's completion that satisfy the loop formulas of all loops. Recently, Gebser and Schaub showed that t... | [
35911
] | Test |
34,277 | 24 | Title: Counterfactual Explanations of Neural Network-Generated Response Curves
Abstract: Response curves exhibit the magnitude of the response of a sensitive system to a varying stimulus. However, response of such systems may be sensitive to multiple stimuli (i.e., input features) that are not necessarily independent. ... | [] | Validation |
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