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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|---|---|---|---|---|
35,378 | 39 | Title: Temporal Reachability Dominating Sets: contagion in temporal graphs
Abstract: SARS-CoV-2 was independently introduced to the UK at least 1300 times by June 2020. Given a population with dynamic pairwise connections, we ask if the entire population could be (indirectly) infected by a small group of $k$ initially ... | [] | Train |
35,379 | 8 | Title: LogQA: Question Answering in Unstructured Logs
Abstract: Modern systems produce a large volume of logs to record run-time status and events. System operators use these raw logs to track a system in order to obtain some useful information to diagnose system anomalies. One of the most important problems in this ar... | [] | Validation |
35,380 | 16 | Title: Instance-Agnostic Geometry and Contact Dynamics Learning
Abstract: This work presents an instance-agnostic learning framework that fuses vision with dynamics to simultaneously learn shape, pose trajectories and physical properties via the use of geometry as a shared representation. Unlike many contact learning a... | [
40026,
8795
] | Train |
35,381 | 24 | Title: Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning
Abstract: The goal of this work is to address two limitations in autoencoder-based models: latent space interpretability and compatibility with unstructured meshes. This is accomplished here with the development of a novel... | [] | Test |
35,382 | 16 | Title: Towards Reliable Colorectal Cancer Polyps Classification via Vision Based Tactile Sensing and Confidence-Calibrated Neural Networks
Abstract: In this study, toward addressing the over-confident outputs of existing artificial intelligence-based colorectal cancer (CRC) polyp classification techniques, we propose a... | [] | Train |
35,383 | 16 | Title: Explain What You See: Open-Ended Segmentation and Recognition of Occluded 3D Objects
Abstract: Local-HDP (Local Hierarchical Dirichlet Process) is a hierarchical Bayesian method recently used for open-ended 3D object category recognition. It has been proven to be efficient in real-time robotic applications. Howe... | [] | Train |
35,384 | 8 | Title: DCNetBench: Scaleable Data Center Network Benchmarking
Abstract: Data center networking is the central infrastructure of the modern information society. However, benchmarking them is very challenging as the real-world network traffic is difficult to model, and Internet service giants treat the network traffic as... | [] | Test |
35,385 | 8 | Title: Slicing the Network: Maintaining Neutrality, Protecting Privacy, and Promoting Competition
Abstract: The principles of net neutrality have been essential for maintaining the diversity of services built on top of the internet and for maintaining some competition between small and large providers of those online s... | [] | Validation |
35,386 | 31 | Title: Denoised Self-Augmented Learning for Social Recommendation
Abstract: Social recommendation is gaining increasing attention in various online applications, including e-commerce and online streaming, where social information is leveraged to improve user-item interaction modeling. Recently, Self-Supervised Learning... | [
336,
45349,
31085,
5559
] | Train |
35,387 | 10 | Title: MizAR 60 for Mizar 50
Abstract: As a present to Mizar on its 50th anniversary, we develop an AI/TP system that automatically proves about 60\% of the Mizar theorems in the hammer setting. We also automatically prove 75\% of the Mizar theorems when the automated provers are helped by using only the premises used ... | [
4560
] | Train |
35,388 | 30 | Title: Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Abstract: This paper presents a comprehensive and practical guide for practitioners and end-users working with Large Language Models (LLMs) in their downstream natural language processing (NLP) tasks. We provide discussions and insights int... | [
40192,
13700,
21893,
19337,
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6453,
7351,
34361,
26810,
20028,
38208,
17349,
33477,
8264,
15049,
9296,
46... | Train |
35,389 | 25 | Title: Sound reconstruction from human brain activity via a generative model with brain-like auditory features
Abstract: The successful reconstruction of perceptual experiences from human brain activity has provided insights into the neural representations of sensory experiences. However, reconstructing arbitrary sound... | [] | Train |
35,390 | 7 | Title: Efficient and scalable hybrid fluid-particle simulations with geometrically resolved particles on heterogeneous CPU-GPU architectures
Abstract: In recent years, it has become increasingly popular to accelerate numerical simulations using Graphics Processing Unit (GPU)s. In multiphysics simulations, the various c... | [] | Test |
35,391 | 10 | Title: Optimizing Energy Efficiency in Metro Systems Under Uncertainty Disturbances Using Reinforcement Learning
Abstract: In the realm of urban transportation, metro systems serve as crucial and sustainable means of public transit. However, their substantial energy consumption poses a challenge to the goal of sustaina... | [] | Validation |
35,392 | 16 | Title: ZeroForge: Feedforward Text-to-Shape Without 3D Supervision
Abstract: Current state-of-the-art methods for text-to-shape generation either require supervised training using a labeled dataset of pre-defined 3D shapes, or perform expensive inference-time optimization of implicit neural representations. In this wor... | [
34074,
39227
] | Train |
35,393 | 16 | Title: Local-Global Temporal Difference Learning for Satellite Video Super-Resolution
Abstract: Optical-flow-based and kernel-based approaches have been widely explored for temporal compensation in satellite video super-resolution (VSR). However, these techniques involve high computational consumption and are prone to ... | [] | Validation |
35,394 | 16 | Title: VDT: An Empirical Study on Video Diffusion with Transformers
Abstract: This work introduces Video Diffusion Transformer (VDT), which pioneers the use of transformers in diffusion-based video generation. It features transformer blocks with modularized temporal and spatial attention modules, allowing separate opti... | [
42272,
23563,
15628,
8308,
43446,
41183
] | Validation |
35,395 | 30 | Title: PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning
Abstract: Procedural planning, which entails decomposing a high-level goal into a sequence of temporally ordered steps, is an important yet intricate task for machines. It involves integrating common-sense knowl... | [
18785,
1802,
12741,
26222
] | Train |
35,396 | 27 | Title: DAMM: Directionality-Aware Mixture Model Parallel Sampling for Efficient Dynamical System Learning
Abstract: The Linear Parameter Varying Dynamical System (LPV-DS) is a promising framework for learning stable time-invariant motion policies in robot control. By employing statistical modeling and semi-definite opt... | [] | Test |
35,397 | 4 | Title: An Incremental Gray-box Physical Adversarial Attack on Neural Network Training
Abstract: Neural networks have demonstrated remarkable success in learning and solving complex tasks in a variety of fields. Nevertheless, the rise of those networks in modern computing has been accompanied by concerns regarding their... | [] | Test |
35,398 | 27 | Title: EigenMPC: An Eigenmanifold-Inspired Model-Predictive Control Framework for Exciting Efficient Oscillations in Mechanical Systems
Abstract: This paper proposes a Nonlinear Model-Predictive Control (NMPC) method capable of finding and converging to energy-efficient regular oscillations, which require no control ac... | [] | Validation |
35,399 | 30 | Title: DomainInv: Domain Invariant Fine Tuning and Adversarial Label Correction For QA Domain Adaptation
Abstract: Existing Question Answering (QA) systems limited by the capability of answering questions from unseen domain or any out-of-domain distributions making them less reliable for deployment to real scenarios. M... | [] | Test |
35,400 | 30 | Title: Utilizing Large Language Models for Natural Interface to Pharmacology Databases
Abstract: The drug development process necessitates that pharmacologists undertake various tasks, such as reviewing literature, formulating hypotheses, designing experiments, and interpreting results. Each stage requires accessing an... | [
19250
] | Train |
35,401 | 8 | Title: Characterizing the VPN Ecosystem in the Wild
Abstract: With the increase of remote working during and after the COVID-19 pandemic, the use of Virtual Private Networks (VPNs) around the world has nearly doubled. Therefore, measuring the traffic and security aspects of the VPN ecosystem is more important now than ... | [
9339,
4159
] | Validation |
35,402 | 10 | Title: Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
Abstract: The field of automated machine learning (AutoML) introduces techniques that automate parts of the development of machine learning (ML) systems, accelerating the process and reducing barriers for novices. However, decision... | [
21529,
3804,
45222
] | Validation |
35,403 | 16 | Title: Vision Transformer Adapters for Generalizable Multitask Learning
Abstract: We introduce the first multitasking vision transformer adapters that learn generalizable task affinities which can be applied to novel tasks and domains. Integrated into an off-the-shelf vision transformer backbone, our adapters can simul... | [] | Train |
35,404 | 16 | Title: An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds
Abstract: 3D single object tracking in LiDAR point clouds (LiDAR SOT) plays a crucial role in autonomous driving. Current approaches all follow the Siamese paradigm based on appearance matching. However, LiDAR point clouds are usu... | [] | Train |
35,405 | 30 | Title: PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts
Abstract: A key component of modern conversational systems is the Dialogue State Tracker (or DST), which models a user's goals and needs. Toward building more robust and reliable DSTs, we introduce a prompt-based learning approach to automati... | [
37821
] | Validation |
35,406 | 5 | Title: Challenges in the Design and Implementation of IoT Testbeds in Smart-Cities: A Systematic Review
Abstract: Advancements in wireless communication and the increased accessibility to low-cost sensing and data processing IoT technologies have increased the research and development of urban monitoring systems. Most ... | [
43362,
34420,
17494
] | Train |
35,407 | 3 | Title: Medical Data Asset Management and an Approach for Disease Prediction using Blockchain and Machine Learning
Abstract: In the present medical services, the board, clinical well-being records are as electronic clinical record (EHR/EMR) frameworks. These frameworks store patients' clinical histories in a computerize... | [] | Train |
35,408 | 10 | Title: Subsethood Measures of Spatial Granules
Abstract: Subsethood, which is to measure the degree of set inclusion relation, is predominant in fuzzy set theory. This paper introduces some basic concepts of spatial granules, coarse-fine relation, and operations like meet, join, quotient meet and quotient join. All the... | [] | Train |
35,409 | 7 | Title: A Generic Workforce Scheduling and Routing Problem with the Vehicle Sharing and Drop-off and Pick-up Policies
Abstract: This paper introduces a new generic problem to the literature of Workforce Scheduling and Routing Problem. In this problem, multiple workers are assigned to a shared vehicle based on their qual... | [] | Train |
35,410 | 16 | Title: DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning Methods
Abstract: Successful applications of complex vision-based behaviours underwater have lagged behind progress in terrestrial and aerial domains. This is largely due to the degraded image quality resulting ... | [
33073,
43971
] | Train |
35,411 | 16 | Title: Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers
Abstract: Assessing the robustness of deep neural networks against out-of-distribution inputs is crucial, especially in safety-critical domains like autonomous driving, but also in safety systems where malicious actors can digitally a... | [] | Validation |
35,412 | 10 | Title: The AI Revolution: Opportunities and Challenges for the Finance Sector
Abstract: This report examines Artificial Intelligence (AI) in the financial sector, outlining its potential to revolutionise the industry and identify its challenges. It underscores the criticality of a well-rounded understanding of AI, its ... | [
15301
] | Train |
35,413 | 23 | Title: Return on Investment Driven Observability
Abstract: Observability, in cloud native systems, is the capability to continuously generate and discover actionable insights, based on signals from the system under observation. How do you know what insights are the most useful ones? What signals should you be using to ... | [] | Train |
35,414 | 17 | Title: No Free Slide: Spurious Contact Forces in Incremental Potential Contact
Abstract: Modeling contact between deformable solids is a fundamental problem in computer animation, mechanical design, and robotics. Existing methods based on $C^0$-discretizations -- piece-wise linear or polynomial surfaces -- suffer from ... | [] | Train |
35,415 | 30 | Title: M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection
Abstract: Large language models (LLMs) have demonstrated remarkable capability to generate fluent responses to a wide variety of user queries, but this has also resulted in concerns regarding the potential misuse of s... | [
31362,
13700,
22476,
22574,
497,
7796,
18134,
33368,
43930,
38235,
13821
] | Validation |
35,416 | 13 | Title: Control of synaptic plasticity in neural networks
Abstract: The brain is a nonlinear and highly Recurrent Neural Network (RNN). This RNN is surprisingly plastic and supports our astonishing ability to learn and execute complex tasks. However, learning is incredibly complicated due to the brain's nonlinear nature... | [] | Validation |
35,417 | 16 | Title: Self-supervised Extraction of Human Motion Structures via Frame-wise Discrete Features
Abstract: The present paper proposes an encoder-decoder model for extracting the structures of human motions represented by frame-wise discrete features in a self-supervised manner. In the proposed method, features are extract... | [] | Train |
35,418 | 30 | Title: Conformal Language Modeling
Abstract: We propose a novel approach to conformal prediction for generative language models (LMs). Standard conformal prediction produces prediction sets -- in place of single predictions -- that have rigorous, statistical performance guarantees. LM responses are typically sampled fr... | [
12896,
13700,
33220,
8331,
22286,
44623,
41780,
42071,
41210,
10876,
32158
] | Train |
35,419 | 24 | Title: Federated Learning with Classifier Shift for Class Imbalance
Abstract: Federated learning aims to learn a global model collaboratively while the training data belongs to different clients and is not allowed to be exchanged. However, the statistical heterogeneity challenge on non-IID data, such as class imbalance... | [] | Test |
35,420 | 23 | Title: Improving Software Requirements Prioritization through the Lens of Constraint Solving
Abstract: Requirements prioritization is a critical activity during the early software development process, which produces a set of key requirements to implement. The prioritization process offers a parity among the requirement... | [] | Train |
35,421 | 16 | Title: LANA: A Language-Capable Navigator for Instruction Following and Generation
Abstract: Recently, visual-language navigation (VLN) - entailing robot agents to follow navigation instructions - has shown great advance. However, existing literature put most emphasis on interpreting instructions into actions, only del... | [
41753,
38330,
19757,
12221
] | Train |
35,422 | 23 | Title: Type Prediction With Program Decomposition and Fill-in-the-Type Training
Abstract: TypeScript and Python are two programming languages that support optional type annotations, which are useful but tedious to introduce and maintain. This has motivated automated type prediction: given an untyped program, produce a ... | [
32450,
32626,
14869,
21880,
8540
] | Test |
35,423 | 8 | Title: Simulation of Video Streaming Over Wireless Networks with NS-3
Abstract: The combination of video streaming services and wireless networks plays an important role in many fields. In this paper, we present an NS-3-based simulation platform for evaluating and optimizing the performance of the video streaming appli... | [] | Train |
35,424 | 4 | Title: Empirical Analysis of Software Vulnerabilities Causing Timing Side Channels
Abstract: Timing attacks are considered one of the most damaging side-channel attacks. These attacks exploit timing fluctuations caused by certain operations to disclose confidential information to an attacker. For instance, in asymmetri... | [
6301
] | Validation |
35,425 | 5 | Title: Validation, Verification, and Testing (VVT) of future RISC-V powered cloud infrastructures: the Vitamin-V Horizon Europe Project perspective
Abstract: Vitamin-V is a project funded under the Horizon Europe program for the period 2023-2025. The project aims to create a complete open-source software stack for RISC... | [
9115
] | Train |
35,426 | 4 | Title: Global Pandemics Influence on Cyber Security and Cyber Crimes
Abstract: COVID-19 has caused widespread damage across many areas of life and has made humans more dependent on the internet and technology making us realize the importance of secure remote working environments. While social separation is encouraged d... | [] | Train |
35,427 | 30 | Title: ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models
Abstract: Large language models (LLMs) such as ChatGPT and GPT-4 have made significant progress in NLP. However, their ability to memorize, represent, and leverage commonsense knowledge has been ... | [
40192,
20993,
32036,
35044,
45478,
42949,
31755,
34956,
43403,
44687,
10672,
25075,
8436,
16917,
23252,
45909,
38617,
12602
] | Test |
35,428 | 27 | Title: Optimizing Drone Delivery in Smart Cities
Abstract: We propose a novel context-aware drone delivery framework for optimizing package delivery through skyway networks in smart cities. We reformulate the problem of finding an optimal drone service delivery pathway as a more congruent and elegant drone delivery ser... | [
41769
] | Test |
35,429 | 16 | Title: Development of a deep learning-based tool to assist wound classification
Abstract: nan | [] | Validation |
35,430 | 4 | Title: Anatomy of a High-Profile Data Breach: Dissecting the Aftermath of a Crypto-Wallet Case
Abstract: Media reports show an alarming increase of data breaches at providers of cybersecurity products and services. Since the exposed records may reveal security-relevant data, such incidents cause undue burden and create... | [] | Validation |
35,431 | 24 | Title: Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression
Abstract: Learning algorithms that divide the data into batches are prevalent in many machine-learning applications, typically offering useful trade-offs between computational efficiency and performance. In this paper... | [] | Train |
35,432 | 34 | Title: Accelerating Personalized PageRank Vector Computation
Abstract: Personalized PageRank Vectors are widely used as fundamental graph-learning tools for detecting anomalous spammers, learning graph embeddings, and training graph neural networks. The well-known local FwdPush algorithm[5] approximates PPVs and has a ... | [] | Validation |
35,433 | 16 | Title: Semantic Positive Pairs for Enhancing Contrastive Instance Discrimination
Abstract: Self-supervised learning algorithms based on instance discrimination effectively prevent representation collapse and produce promising results in representation learning. However, the process of attracting positive pairs (i.e., t... | [
38401,
41827
] | Test |
35,434 | 26 | Title: How Do US Congress Members Advertise Climate Change: An Analysis Of Ads Run On Meta's Platforms
Abstract: Ensuring transparency and integrity in political communication on climate change has arguably never been more important than today. Yet we know little about how politicians focus on, talk about, and portray ... | [
37724,
38486
] | Train |
35,435 | 18 | Title: Fault Injection in Native Logic-in-Memory Computation on Neuromorphic Hardware
Abstract: Logic-in-memory (LIM) describes the execution of logic gates within memristive crossbar structures, promising to improve performance and energy efficiency. Utilizing only binary values, LIM particularly excels in acceleratin... | [] | Train |
35,436 | 16 | Title: Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery
Abstract: Positive-unlabeled learning (PU learning) in hyperspectral remote sensing imagery (HSI) is aimed at learning a binary classifier from positive and unlabeled data, which has broad prospects... | [] | Test |
35,437 | 24 | Title: Evaluation and Optimization of Gradient Compression for Distributed Deep Learning
Abstract: To accelerate distributed training, many gradient compression methods have been proposed to alleviate the communication bottleneck in synchronous stochastic gradient descent (S-SGD), but their efficacy in real-world appli... | [
21915
] | Train |
35,438 | 20 | Title: The Calissons Puzzle
Abstract: In 2022, Olivier Longuet, a French mathematics teacher, created a game called the \textit{calissons puzzle}. Given a triangular grid in a hexagon and some given edges of the grid, the problem is to find a calisson tiling such that no input edge is overlapped and calissons adjacent ... | [] | Train |
35,439 | 24 | Title: Fast Slate Policy Optimization: Going Beyond Plackett-Luce
Abstract: An increasingly important building block of large scale machine learning systems is based on returning slates; an ordered lists of items given a query. Applications of this technology include: search, information retrieval and recommender syste... | [
34758
] | Train |
35,440 | 31 | Title: Unsupervised Entity Alignment for Temporal Knowledge Graphs
Abstract: Entity alignment (EA) is a fundamental data integration task that identifies equivalent entities between different knowledge graphs (KGs). Temporal Knowledge graphs (TKGs) extend traditional knowledge graphs by introducing timestamps, which ha... | [
12640,
39556,
16552,
43756,
35890,
26999,
42269
] | Test |
35,441 | 23 | Title: Specification, Validation and Verification of Social, Legal, Ethical, Empathetic and Cultural Requirements for Autonomous Agents
Abstract: Autonomous agents are increasingly being proposed for use in healthcare, assistive care, education, and other applications governed by complex human-centric norms. To ensure ... | [] | Test |
35,442 | 30 | Title: Downstream Task-Oriented Neural Tokenizer Optimization with Vocabulary Restriction as Post Processing
Abstract: This paper proposes a method to optimize tokenization for the performance improvement of already trained downstream models. Our method generates tokenization results attaining lower loss values of a gi... | [] | Test |
35,443 | 6 | Title: Would the Trees Dim the Lights? Adopting the Intentional Stance for More-Than-Human Participatory Design
Abstract: The 2019/20 Black Summer bushfires in Australia demonstrated the brutal and disastrous consequences of changing the technological world without considering linkages with the biophysical, ecological ... | [] | Validation |
35,444 | 27 | Title: Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-Place
Abstract: nan | [
35198
] | Train |
35,445 | 30 | Title: The Wisdom of Hindsight Makes Language Models Better Instruction Followers
Abstract: Reinforcement learning has seen wide success in finetuning large language models to better align with instructions via human feedback. The so-called algorithm, Reinforcement Learning with Human Feedback (RLHF) demonstrates impre... | [
21190,
25772,
26673,
407,
38874,
29115
] | Train |
35,446 | 24 | Title: FairDP: Certified Fairness with Differential Privacy
Abstract: This paper introduces FairDP, a novel mechanism designed to achieve certified fairness with differential privacy (DP). FairDP independently trains models for distinct individual groups, using group-specific clipping terms to assess and bound the disp... | [] | Validation |
35,447 | 37 | Title: Conjunctive Regular Path Queries under Injective Semantics
Abstract: We introduce injective semantics for Conjunctive Regular Path Queries (CRPQs), and study their fundamental properties. We identify two such semantics: atom-injective and query-injective semantics, both defined in terms of injective homomorphism... | [] | Validation |
35,448 | 24 | Title: Higher-order Motif-based Time Series Classification for Forced Oscillation Source Location in Power Grids
Abstract: Time series motifs are used for discovering higher-order structures of time series data. Based on time series motifs, the motif embedding correlation field (MECF) is proposed to characterize higher... | [] | Train |
35,449 | 30 | Title: Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning
Abstract: Large Language Models (LLMs) are known to memorize significant portions of their training data. Parts of this memorized content have been shown to be extractable by simply querying the model, which poses a privacy... | [
9109
] | Test |
35,450 | 8 | Title: FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design
Abstract: Robust network design, which aims to guarantee network availability under various failure scenarios while optimizing performance/cost objectives, has received significant attention. Existing approaches often rely... | [] | Train |
35,451 | 26 | Title: AlignGraph: A Group of Generative Models for Graphs
Abstract: It is challenging for generative models to learn a distribution over graphs because of the lack of permutation invariance: nodes may be ordered arbitrarily across graphs, and standard graph alignment is combinatorial and notoriously expensive. We prop... | [] | Train |
35,452 | 30 | Title: SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction
Abstract: Zero-shot cross-lingual information extraction(IE) aims at constructing an IE model for some low-resource target languages, given annotations exclusively in some rich-resource languages. Recent s... | [
5793
] | Test |
35,453 | 16 | Title: A Vision-based Autonomous Perching Approach for Nano Aerial Vehicles
Abstract: Over the past decades, quadcopters have been investigated, due to their mobility and flexibility to operate in a wide range of environments. They have been used in various areas, including surveillance and monitoring. During a mission... | [] | Train |
35,454 | 5 | Title: Optimization towards Efficiency and Stateful of dispel4py
Abstract: Scientific workflows bridge scientific challenges with computational resources. While dispel4py, a stream-based workflow system, offers mappings to parallel enactment engines like MPI or Multiprocessing, its optimization primarily focuses on dyn... | [] | Validation |
35,455 | 30 | Title: Text Alignment Is An Efficient Unified Model for Massive NLP Tasks
Abstract: Large language models (LLMs), typically designed as a function of next-word prediction, have excelled across extensive NLP tasks. Despite the generality, next-word prediction is often not an efficient formulation for many of the tasks, ... | [
38208,
25892,
13096,
39451,
24479
] | Train |
35,456 | 26 | Title: PyPoll: A python library automating mining of networks, discussions and polarization on Twitter
Abstract: Today online social networks have a high impact in our society as more and more people use them for communicating with each other, express their opinions, participating in public discussions, etc. In particu... | [
42187,
23478
] | Train |
35,457 | 6 | Title: Training Evaluation in a Smart Farm using Kirkpatrick Model: A Case Study of Chiang Mai
Abstract: Farmers can now use IoT to improve farm efficiency and productivity by using sensors for farm monitoring to enhance decision-making in areas such as fertilization, irrigation, climate forecast, and harvesting inform... | [] | Train |
35,458 | 24 | Title: Topology-aware Robust Optimization for Out-of-Distribution Generalization
Abstract: Out-of-distribution (OOD) generalization is a challenging machine learning problem yet highly desirable in many high-stake applications. Existing methods suffer from overly pessimistic modeling with low generalization confidence.... | [
25404
] | Train |
35,459 | 4 | Title: Machine Learning Based Intrusion Detection Systems for IoT Applications
Abstract: nan | [
17702,
25086
] | Test |
35,460 | 10 | Title: Analyzing Intentional Behavior in Autonomous Agents under Uncertainty
Abstract: Principled accountability for autonomous decision-making in uncertain environments requires distinguishing intentional outcomes from negligent designs from actual accidents. We propose analyzing the behavior of autonomous agents thro... | [
44243
] | Train |
35,461 | 24 | Title: Algorithmic Censoring in Dynamic Learning Systems
Abstract: Dynamic learning systems subject to selective labeling exhibit censoring, i.e. persistent negative predictions assigned to one or more subgroups of points. In applications like consumer finance, this results in groups of applicants that are persistently... | [] | Validation |
35,462 | 24 | Title: A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI
Abstract: Explainable Artificial Intelligence (XAI) has gained significant attention recently as the demand for transparency and interpretability of machine learning models has increased. In particular, XAI for time series data has become... | [] | Validation |
35,463 | 16 | Title: A Method For Eliminating Contour Errors In Self-Encoder Reconstructed Images
Abstract: In this paper, we propose a self-supervised twin network approach based on this a priori. The method of generating the approximate10 edge information of an image and then differentially eliminating the edge errors11 in the rec... | [] | Test |
35,464 | 27 | Title: Demonstrating Large-Scale Package Manipulation via Learned Metrics of Pick Success
Abstract: Automating warehouse operations can reduce logistics overhead costs, ultimately driving down the final price for consumers, increasing the speed of delivery, and enhancing the resiliency to workforce fluctuations. The pa... | [] | Validation |
35,465 | 30 | Title: MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems
Abstract: Although automatic dialogue tutors hold great potential in making education personalized and more accessible, research on such systems has been hampered by a lack of sufficiently large and high-qu... | [
27585,
21794,
44246,
29206,
45239,
29755
] | Validation |
35,466 | 2 | Title: Proof in the time of machines
Abstract: We compare the values associated with (traditional) community based proof verification to those associated with computer proof verification. We propose ways that computer proofs might incorporate successful strategies from human experiences. | [] | Test |
35,467 | 25 | Title: Streaming Audio Transformers for Online Audio Tagging
Abstract: Transformers have emerged as a prominent model framework for audio tagging (AT), boasting state-of-the-art (SOTA) performance on the widely-used Audioset dataset. However, their impressive performance often comes at the cost of high memory usage, sl... | [
12715,
9020
] | Train |
35,468 | 6 | Title: Hate Raids on Twitch: Understanding Real-Time Human-Bot Coordinated Attacks in Live Streaming Communities
Abstract: Online harassment and content moderation have been well-documented in online communities. However, new contexts and systems always bring new ways of harassment and need new moderation mechanisms. T... | [] | Train |
35,469 | 36 | Title: On the ubiquity of duopolies in constant sum congestion games
Abstract: We analyse a coalition formation game between strategic service providers of a congestible service. The key novelty of our formulation is that it is a constant sum game, i.e., the total payoff across all service providers (or coalitions of p... | [] | Train |
35,470 | 27 | Title: Modeling and analysis of pHRI with Differential Game Theory
Abstract: Applications involving humans and robots working together are spreading nowadays. Alongside, modeling and control techniques that allow physical Human-Robot Interaction (pHRI) are widely investigated. To better understand its potential applica... | [] | Validation |
35,471 | 24 | Title: Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems
Abstract: Hamilton-Jacobi partial differential equations (HJ PDEs) have deep connections with a wide range of fields, including optimal control, differential games, and imaging sciences. By considering the time variable t... | [
40625,
29379
] | Train |
35,472 | 27 | Title: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation
Abstract: Manipulating objects without grasping them is an essential component of human dexterity, referred to as non-prehensile manipulation. Non-prehensile manipulation may enable more complex interactions with the objects, but also presents ... | [
5768,
2113,
16070
] | Train |
35,473 | 25 | Title: DSE-TTS: Dual Speaker Embedding for Cross-Lingual Text-to-Speech
Abstract: Although high-fidelity speech can be obtained for intralingual speech synthesis, cross-lingual text-to-speech (CTTS) is still far from satisfactory as it is difficult to accurately retain the speaker timbres(i.e. speaker similarity) and e... | [] | Train |
35,474 | 16 | Title: You Only Crash Once: Improved Object Detection for Real-Time, Sim-to-Real Hazardous Terrain Detection and Classification for Autonomous Planetary Landings
Abstract: The detection of hazardous terrain during the planetary landing of spacecraft plays a critical role in assuring vehicle safety and mission success. ... | [] | Test |
35,475 | 6 | Title: HoloBots: Augmenting Holographic Telepresence with Mobile Robots for Tangible Remote Collaboration in Mixed Reality
Abstract: This paper introduces HoloBots, a mixed reality remote collaboration system that augments holographic telepresence with synchronized mobile robots. Beyond existing mixed reality teleprese... | [
2817
] | Validation |
35,476 | 30 | Title: Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives
Abstract: Large language models (LLMs) have shown increasing power on various natural language processing (NLP) tasks. However, tuning these models for downstream tasks usually needs exorbitant costs or ... | [] | Train |
35,477 | 26 | Title: Party Prediction for Twitter
Abstract: A large number of studies on social media compare the behaviour of users from different political parties. As a basic step, they employ a predictive model for inferring their political affiliation. The accuracy of this model can change the conclusions of a downstream analys... | [] | Train |
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