node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
25,478 | 16 | Title: Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images
Abstract: The development of algorithms that learn multi-agent behavioral models using human demonstrations has led to increasingly realistic simulations in the field of autonomous driving. In general, such models learn to joint... | [] | Test |
25,479 | 30 | Title: No Place to Hide: Dual Deep Interaction Channel Network for Fake News Detection based on Data Augmentation
Abstract: Online Social Network (OSN) has become a hotbed of fake news due to the low cost of information dissemination. Although the existing methods have made many attempts in news content and propagation... | [] | Train |
25,480 | 24 | Title: Transfer Learning in Deep Learning Models for Building Load Forecasting: Case of Limited Data
Abstract: Precise load forecasting in buildings could increase the bill savings potential and facilitate optimized strategies for power generation planning. With the rapid evolution of computer science, data-driven tech... | [
24605
] | Train |
25,481 | 16 | Title: On Point Affiliation in Feature Upsampling
Abstract: We introduce the notion of point affiliation into feature upsampling. By abstracting a feature map into non-overlapped semantic clusters formed by points of identical semantic meaning, feature upsampling can be viewed as point affiliation -- designating a sema... | [
19139
] | Test |
25,482 | 24 | Title: Improving and generalizing flow-based generative models with minibatch optimal transport
Abstract: Continuous normalizing flows (CNFs) are an attractive generative modeling technique, but they have been held back by limitations in their simulation-based maximum likelihood training. We introduce the generalized c... | [
35083,
36483
] | Train |
25,483 | 6 | Title: VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions
Abstract: Big data and machine learning tools have jointly empowered humans in making data-driven decisions. However, many of them capture empirical associations that might be spurious due to confounding factors a... | [
11510
] | Train |
25,484 | 4 | Title: Improving Robustness and Accuracy of Ponzi Scheme Detection on Ethereum Using Time-Dependent Features
Abstract: The rapid development of blockchain has led to more and more funding pouring into the cryptocurrency market, which also attracted cybercriminals' interest in recent years. The Ponzi scheme, an old-fash... | [] | Test |
25,485 | 24 | Title: Improving Inference Performance of Machine Learning with the Divide-and-Conquer Principle
Abstract: Many popular machine learning models scale poorly when deployed on CPUs. In this paper we explore the reasons why and propose a simple, yet effective approach based on the well-known Divide-and-Conquer Principle t... | [] | Validation |
25,486 | 16 | Title: ConcatPlexer: Additional Dim1 Batching for Faster ViTs
Abstract: Transformers have demonstrated tremendous success not only in the natural language processing (NLP) domain but also the field of computer vision, igniting various creative approaches and applications. Yet, the superior performance and modeling flex... | [
960,
5077
] | Train |
25,487 | 10 | Title: MSLE: An ontology for Materials Science Laboratory Equipment. Large-Scale Devices for Materials Characterization
Abstract: nan | [] | Train |
25,488 | 24 | Title: ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence
Abstract: Prescription medications often impose temporal constraints on regular health behaviors (RHBs) of patients, e.g., eating before taking medication. Violations of such medical temporal constraints (MTCs) can result in ... | [] | Test |
25,489 | 31 | Title: Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation
Abstract: Learning accurate cross-domain preference mappings in the absence of overlapped users/items has presented a persistent challenge in Non-overlapping Cross-domain Recommendation (NOCDR). Despite the efforts made in previo... | [] | Train |
25,490 | 30 | Title: Exploring Machine Learning and Transformer-based Approaches for Deceptive Text Classification: A Comparative Analysis
Abstract: Deceptive text classification is a critical task in natural language processing that aims to identify deceptive o fraudulent content. This study presents a comparative analysis of machi... | [] | Train |
25,491 | 28 | Title: Satellite Clusters Flying in Formation: Orbital Configuration-Dependent Performance Analyses
Abstract: This paper considers a downlink satellite communication system where a satellite cluster, i.e., a satellite swarm consisting of one leader and multiple follower satellites, serves a ground terminal. The satelli... | [
35116
] | Train |
25,492 | 30 | Title: A Side-by-side Comparison of Transformers for Implicit Discourse Relation Classification
Abstract: Though discourse parsing can help multiple NLP fields, there has been no wide language model search done on implicit discourse relation classification. This hinders researchers from fully utilizing public-available... | [] | Train |
25,493 | 23 | Title: Meta-Maintanance for Dockerfiles: Are We There Yet?
Abstract: Docker allows for the packaging of applications and dependencies, and its instructions are described in Dockerfiles. Nowadays, version pinning is recommended to avoid unexpected changes in the latest version of a package. However, version pinning in D... | [] | Test |
25,494 | 16 | Title: HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness
Abstract: Convolutional Neural Networks (CNN) are known to exhibit poor generalization performance under distribution shifts. Their generalization have been studied extensively, and one line of work approaches the problem from a freque... | [] | Train |
25,495 | 24 | Title: ICQ: A Quantization Scheme for Best-Arm Identification Over Bit-Constrained Channels
Abstract: We study the problem of best-arm identification in a distributed variant of the multi-armed bandit setting, with a central learner and multiple agents. Each agent is associated with an arm of the bandit, generating sto... | [] | Validation |
25,496 | 16 | Title: Securing Neural Networks with Knapsack Optimization
Abstract: Deep learning inference brings together the data and the Convolutional Neural Network (CNN). This is problematic in case the user wants to preserve the privacy of the data and the service provider does not want to reveal the weights of his CNN. Secure... | [] | Test |
25,497 | 30 | Title: BanglaCoNER: Towards Robust Bangla Complex Named Entity Recognition
Abstract: Named Entity Recognition (NER) is a fundamental task in natural language processing that involves identifying and classifying named entities in text. But much work hasn't been done for complex named entity recognition in Bangla, despit... | [] | Train |
25,498 | 16 | Title: Super-NeRF: View-consistent Detail Generation for NeRF super-resolution
Abstract: The neural radiance field (NeRF) achieved remarkable success in modeling 3D scenes and synthesizing high-fidelity novel views. However, existing NeRF-based methods focus more on the make full use of the image resolution to generate... | [
37098,
28875
] | Train |
25,499 | 16 | Title: Weakly Supervised Visual Question Answer Generation
Abstract: Growing interest in conversational agents promote two-way human-computer communications involving asking and answering visual questions have become an active area of research in AI. Thus, generation of visual question-answer pair(s) becomes an importa... | [] | Validation |
25,500 | 30 | Title: SynGen: A Syntactic Plug-and-play Module for Generative Aspect-based Sentiment Analysis
Abstract: Aspect-based Sentiment Analysis (ABSA) is a sentiment analysis task at fine-grained level. Recently, generative frameworks have attracted increasing attention in ABSA due to their ability to unify subtasks and their... | [] | Train |
25,501 | 11 | Title: Integrated Private Data Trading Systems for Data Marketplaces
Abstract: In the digital age, data is a valuable commodity, and data marketplaces offer lucrative opportunities for data owners to monetize their private data. However, data privacy is a significant concern, and differential privacy has become a popul... | [] | Validation |
25,502 | 30 | Title: CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models
Abstract: Methods for adapting language models (LMs) to new tasks and domains have traditionally assumed white-box access to the model, and work by modifying its parameters. However, this is incompatible with a recent trend in the field, ... | [
6403,
13700,
27340,
12724,
2996
] | Train |
25,503 | 30 | Title: Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling
Abstract: Few-shot sequence labeling aims to identify novel classes based on only a few labeled samples. Existing methods solve the data scarcity problem mainly by designing token-level or span-level labeling models based on metric learnin... | [] | Test |
25,504 | 27 | Title: Learning Task Skills and Goals Simultaneously from Physical Interaction
Abstract: In real-world human-robot systems, it is essential for a robot to comprehend human objectives and respond accordingly while performing an extended series of motor actions. Although human objective alignment has recently emerged as ... | [] | Train |
25,505 | 24 | Title: StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code
Abstract: Code LLMs are being rapidly deployed and there is evidence that they can make professional programmers more productive. Current benchmarks for code generation measure whether models generate correct programs given an ... | [
4976,
43714,
3314,
34208
] | Validation |
25,506 | 5 | Title: MicroFog: A Framework for Scalable Placement of Microservices-based IoT Applications in Federated Fog Environments
Abstract: MicroService Architecture (MSA) is gaining rapid popularity for developing large-scale IoT applications for deployment within distributed and resource-constrained Fog computing environment... | [] | Train |
25,507 | 24 | Title: An Efficient Interior-Point Method for Online Convex Optimization
Abstract: A new algorithm for regret minimization in online convex optimization is described. The regret of the algorithm after $T$ time periods is $O(\sqrt{T \log T})$ - which is the minimum possible up to a logarithmic term. In addition, the new... | [] | Train |
25,508 | 28 | Title: Interpolation-based decoding of folded variants of linearized and skew Reed–Solomon codes
Abstract: The sum-rank metric is a hybrid between the Hamming metric and the rank metric and suitable for error correction in multishot network coding and distributed storage as well as for the design of quantum-resistant c... | [
34437
] | Train |
25,509 | 16 | Title: Scaling Vision-based End-to-End Driving with Multi-View Attention Learning
Abstract: On end-to-end driving, human driving demonstrations are used to train perception-based driving models by imitation learning. This process is supervised on vehicle signals (e.g., steering angle, acceleration) but does not require... | [] | Train |
25,510 | 28 | Title: Age-of-Information Dependent Random Access for Periodic Updating
Abstract: This paper considers an uplink Internet of Things system with synchronous periodic traffic, where multiple devices generate their status updates at the beginning of each global frame and attempt to send them to a common access point. To a... | [] | Validation |
25,511 | 24 | Title: On the Effects of Heterogeneous Errors on Multi-fidelity Bayesian Optimization
Abstract: Bayesian optimization (BO) is a sequential optimization strategy that is increasingly employed in a wide range of areas including materials design. In real world applications, acquiring high-fidelity (HF) data through physic... | [
36283
] | Train |
25,512 | 9 | Title: Upward Translation of Optimal and P-Optimal Proof Systems in the Boolean Hierarchy over NP
Abstract: We study the existence of optimal and p-optimal proof systems for classes in the Boolean hierarchy over $\mathrm{NP}$. Our main results concern $\mathrm{DP}$, i.e., the second level of this hierarchy: If all sets... | [] | Validation |
25,513 | 10 | Title: Compositional Probabilistic and Causal Inference using Tractable Circuit Models
Abstract: Probabilistic circuits (PCs) are a class of tractable probabilistic models, which admit efficient inference routines depending on their structural properties. In this paper, we introduce md-vtrees, a novel structural formul... | [] | Train |
25,514 | 5 | Title: Hashing-Based Distributed Clustering for Massive High-Dimensional Data
Abstract: Clustering analysis is of substantial significance for data mining. The properties of big data raise higher demand for more efficient and economical distributed clustering methods. However, existing distributed clustering methods ma... | [] | Validation |
25,515 | 16 | Title: Visibility Aware Human-Object Interaction Tracking from Single RGB Camera
Abstract: Capturing the interactions between humans and their environment in 3D is important for many applications in robotics, graphics, and vision. Recent works to reconstruct the 3D human and object from a single RGB image do not have c... | [
44930,
38181
] | Train |
25,516 | 27 | Title: Congestion Analysis for the DARPA OFFSET CCAST Swarm
Abstract: The Defense Advanced Research Projects Agency (DARPA) OFFensive Swam-Enabled Tactics program’s goal of launching 250 unmanned aerial and ground vehicles from a limited sized launch zone was a daunting challenge. The swarm’s aerial vehicles were prima... | [] | Train |
25,517 | 6 | Title: Meaningful XAI Based on User-Centric Design Methodology
Abstract: This report first takes stock of XAI-related requirements appearing in various EU directives, regulations, guidelines, and CJEU case law. This analysis of existing requirements will permit us to have a clearer vision of the purposes, the ``why'', ... | [] | Train |
25,518 | 16 | Title: FisHook - An Optimized Approach to Marine Species Classification using MobileNetV2
Abstract: Marine ecosystems are vital for the planet’s health, but human activities such as climate change, pollution, and overfishing pose a constant threat to marine species. Accurate classification and monitoring of these speci... | [] | Train |
25,519 | 3 | Title: Combating harmful Internet use with peer assessment and differential evolution
Abstract: Harmful Internet use (HIU) is a term coined for the unintended use of the Internet. In this study, we propose a more accurate HIU measuring method based on the peer assessment and differential evolution approach. The sample ... | [] | Train |
25,520 | 16 | Title: Rethinking Evaluation Protocols of Visual Representations Learned via Self-supervised Learning
Abstract: Linear probing (LP) (and $k$-NN) on the upstream dataset with labels (e.g., ImageNet) and transfer learning (TL) to various downstream datasets are commonly employed to evaluate the quality of visual represen... | [] | Train |
25,521 | 30 | Title: UIO at SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource Languages
Abstract: Our contribution to the 2023 AfriSenti-SemEval shared task 12: Sentiment Analysis for African Languages, provides insight into how a multilingual large language model can be a resource for senti... | [
20226,
24954
] | Train |
25,522 | 24 | Title: BioCoder: A Benchmark for Bioinformatics Code Generation with Contextual Pragmatic Knowledge
Abstract: Pre-trained language models like ChatGPT have significantly improved code generation. As these models scale up, there is an increasing need for the output to handle more intricate tasks. Moreover, in bioinforma... | [
13700,
35085,
16911,
14869,
16917,
43925,
42523,
9499,
29215,
34208,
2980,
31145,
23085,
22578,
36406,
34493,
29375,
32450,
33220,
14920,
16715,
15952,
33490,
16214,
3181,
33391
] | Train |
25,523 | 16 | Title: Unsupervised evaluation of GAN sample quality: Introducing the TTJac Score
Abstract: Evaluation metrics are essential for assessing the performance of generative models in image synthesis. However, existing metrics often involve high memory and time consumption as they compute the distance between generated samp... | [] | Train |
25,524 | 30 | Title: CPPF: A contextual and post-processing-free model for automatic speech recognition
Abstract: ASR systems have become increasingly widespread in recent years. However, their textual outputs often require post-processing tasks before they can be practically utilized. To address this issue, we draw inspiration from... | [
33220,
13700
] | Test |
25,525 | 16 | Title: Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
Abstract: The recent detection transformer (DETR) has advanced object detection, but its application on resource-constrained devices requires massive computation and memory resources. Quantization stands out as a solution by representing the network in... | [
12299,
21703
] | Train |
25,526 | 27 | Title: Bi-AM-RRT*: A Fast and Efficient Sampling-Based Motion Planning Algorithm in Dynamic Environments
Abstract: The efficiency of sampling-based motion planning brings wide application in autonomous mobile robots. The conventional rapidly exploring random tree (RRT) algorithm and its variants have gained significant... | [] | Test |
25,527 | 16 | Title: InFusionSurf: Refining Neural RGB-D Surface Reconstruction Using Per-Frame Intrinsic Refinement and TSDF Fusion Prior Learning
Abstract: We introduce InFusionSurf, a novel approach to enhance the fidelity of neural radiance field (NeRF) frameworks for 3D surface reconstruction using RGB-D video frames. Building ... | [] | Train |
25,528 | 24 | Title: Hybridization of K-means with improved firefly algorithm for automatic clustering in high dimension
Abstract: K-means Clustering is the most well-known partitioning algorithm among all clustering, by which we can partition the data objects very easily in to more than one clusters. However, for K-means to choose ... | [] | Train |
25,529 | 24 | Title: Theoretical Explanation of Activation Sparsity through Flat Minima and Adversarial Robustness
Abstract: A recent empirical observation of activation sparsity in MLP layers offers an opportunity to drastically reduce computation costs for free. Despite several works attributing it to training dynamics, the theore... | [
2979,
45210,
17072,
10038,
24346
] | Train |
25,530 | 16 | Title: Connections between Operator-splitting Methods and Deep Neural Networks with Applications in Image Segmentation
Abstract: Deep neural network is a powerful tool for many tasks. Understanding why it is so successful and providing a mathematical explanation is an important problem and has been one popular research... | [
22967
] | Validation |
25,531 | 16 | Title: Lesion Detection on Leaves using Class Activation Maps
Abstract: Lesion detection on plant leaves is a critical task in plant pathology and agricultural research. Identifying lesions enables assessing the severity of plant diseases and making informed decisions regarding disease control measures and treatment st... | [] | Train |
25,532 | 16 | Title: Identifying Label Errors in Object Detection Datasets by Loss Inspection
Abstract: Labeling datasets for supervised object detection is a dull and time-consuming task. Errors can be easily introduced during annotation and overlooked during review, yielding inaccurate benchmarks and performance degradation of dee... | [] | Train |
25,533 | 24 | Title: Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
Abstract: Real-world graphs are dynamic, constantly evolving with new interactions, such as financial transactions in financial networks. Temporal Graph Neural Networks (TGNNs) have been de... | [
21277,
42141,
41901
] | Train |
25,534 | 4 | Title: Typing of data transfer processes in the information system within the framework of threat modeling
Abstract: Аnnotation: the work is aimed at automating the process of obtaining a list of security threats aimed at the information system in the work processes of data transfer are considered, definitions for each... | [] | Validation |
25,535 | 27 | Title: Reactive Base Control for On-The-Move Mobile Manipulation in Dynamic Environments
Abstract: We present a reactive base control method that enables high performance mobile manipulation on-the-move in environments with static and dynamic obstacles. Performing manipulation tasks while the mobile base remains in mot... | [] | Test |
25,536 | 24 | Title: Privacy and Efficiency of Communications in Federated Split Learning
Abstract: Every day, large amounts of sensitive data are distributed across mobile phones, wearable devices, and other sensors. Traditionally, these enormous datasets have been processed on a single system, with complex models being trained to ... | [
3735
] | Test |
25,537 | 23 | Title: Mitigating Persistence of Open-Source Vulnerabilities in Maven Ecosystem
Abstract: Vulnerabilities from third-party libraries (TPLs) have been unveiled to threaten the Maven ecosystem. Despite patches being released promptly after vulnerabilities are disclosed, the libraries and applications in the community sti... | [
26537,
15234,
19834
] | Train |
25,538 | 27 | Title: Six-Degree-of-Freedom Localization Under Multiple Permanent Magnets Actuation
Abstract: Localization of magnetically actuated medical robots is essential for accurate actuation, closed loop control and delivery of functionality. Despite extensive progress in the use of magnetic field and inertial measurements fo... | [] | Train |
25,539 | 25 | Title: TO-Rawnet: Improving RawNet with TCN and Orthogonal Regularization for Fake Audio Detection
Abstract: Current fake audio detection relies on hand-crafted features, which lose information during extraction. To overcome this, recent studies use direct feature extraction from raw audio signals. For example, RawNet ... | [] | Test |
25,540 | 10 | Title: Grid-SD2E: A General Grid-Feedback in a System for Cognitive Learning
Abstract: Comprehending how the brain interacts with the external world through generated neural signals is crucial for determining its working mechanism, treating brain diseases, and understanding intelligence. Although many theoretical model... | [] | Train |
25,541 | 25 | Title: Two-Step Knowledge Distillation for Tiny Speech Enhancement
Abstract: Tiny, causal models are crucial for embedded audio machine learning applications. Model compression can be achieved via distilling knowledge from a large teacher into a smaller student model. In this work, we propose a novel two-step approach ... | [
35231
] | Test |
25,542 | 31 | Title: Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval
Abstract: In this paper, we systematically study the potential of pre-training with Large Language Model(LLM)-based document expansion for dense passage retrieval. Concretely, we leverage the capabilities of LLMs for docu... | [
67,
39524,
13700,
3497,
29205
] | Validation |
25,543 | 16 | Title: A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images
Abstract: Hyperspectral imaging (HSI) is a non-destructive and contactless technology that provides valuable information about the structure and compo... | [
14125
] | Train |
25,544 | 22 | Title: Egg-smol Python: A Pythonic Library for E-graphs
Abstract: E-graphs have emerged as a versatile data structure with applications in synthesis, optimization, and verification through techniques such as equality saturation. This paper introduces Python bindings for the experimental egg-smol library, which aims to ... | [] | Test |
25,545 | 30 | Title: The Effects of Political Martyrdom on Election Results: The Assassination of Abe
Abstract: In developed nations assassinations are rare and thus the impact of such acts on the electoral and political landscape is understudied. In this paper, we focus on Twitter data to examine the effects of Japan's former Prime... | [] | Train |
25,546 | 37 | Title: PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba
Abstract: Cloud-native databases have become the de-facto choice for mission-critical applications on the cloud due to the need for high availability, resource elasticity, and cost efficiency. Meanwhile, driven by the increasing connectivity between da... | [] | Test |
25,547 | 4 | Title: Preserving Data Confidentiality in Association Rule Mining Using Data Share Allocator Algorithm
Abstract: These days, investigations of information are becoming essential for various associations all over the globe. By and large, different associations need to perform information examinations on their joined dat... | [
6689,
24065,
41443,
28036,
22405,
42860,
44207,
17137,
10838,
30199,
1468
] | Test |
25,548 | 4 | Title: Love or Hate? Share or Split? Privacy-Preserving Training Using Split Learning and Homomorphic Encryption
Abstract: Split learning (SL) is a new collaborative learning technique that allows participants, e.g. a client and a server, to train machine learning models without the client sharing raw data. In this set... | [
9440
] | Train |
25,549 | 23 | Title: Towards a TDD maturity model through an anti-patterns framework
Abstract: Agile software development has been adopted in the industry to quickly react to business change. Since its inception both academia and industry debate the different shades that agile processes and technical practices play in the day-to-day... | [] | Validation |
25,550 | 10 | Title: An Open-Source Knowledge Graph Ecosystem for the Life Sciences
Abstract: Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data but researchers face significant integration challenge... | [] | Train |
25,551 | 25 | Title: Interactive Neural Resonators
Abstract: In this work, we propose a method for the controllable synthesis of real-time contact sounds using neural resonators. Previous works have used physically inspired statistical methods and physical modelling for object materials and excitation signals. Our method incorporate... | [] | Validation |
25,552 | 16 | Title: Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
Abstract: Unsupervised video-based object-centric learning is a promising avenue to learn structured representations from large, unlabeled video collections, but previous approaches have only managed to scale to real-world ... | [
32489,
22010,
38179,
33485
] | Train |
25,553 | 27 | Title: RoboCupSoccer Review: The Goalkeeper, a Distinctive Player
Abstract: This article offers a literature review of goalkeeper robots in the context of the RoboCupSoccer competition. The latter is one of the various league categories hosted by the RoboCup Federation, which fosters AI and Robotics with their landmark... | [] | Train |
25,554 | 24 | Title: How regularization affects the geometry of loss functions
Abstract: What neural networks learn depends fundamentally on the geometry of the underlying loss function. We study how different regularizers affect the geometry of this function. One of the most basic geometric properties of a smooth function is whethe... | [
14680
] | Train |
25,555 | 11 | Title: The Moderating Effect of Instant Runoff Voting
Abstract: Instant runoff voting (IRV) has recently gained popularity as an alternative to plurality voting for political elections, with advocates claiming a range of advantages, including that it produces more moderate winners than plurality and could thus help add... | [] | Train |
25,556 | 16 | Title: RegionBLIP: A Unified Multi-modal Pre-training Framework for Holistic and Regional Comprehension
Abstract: In this work, we investigate extending the comprehension of Multi-modal Large Language Models (MLLMs) to regional objects. To this end, we propose to extract features corresponding to regional objects as so... | [
41318,
26380,
13935,
41104,
19442,
32148,
15413,
7384,
30745,
8509,
27454
] | Train |
25,557 | 27 | Title: Robust explicit model predictive control for hybrid linear systems with parameter uncertainties
Abstract: Explicit model-predictive control (MPC) is a widely used control design method that employs optimization tools to find control policies offline; commonly it is posed as a semi-definite program (SDP) or as a ... | [] | Validation |
25,558 | 27 | Title: Towards A Unified Agent with Foundation Models
Abstract: Language Models and Vision Language Models have recently demonstrated unprecedented capabilities in terms of understanding human intentions, reasoning, scene understanding, and planning-like behaviour, in text form, among many others. In this work, we inve... | [
10624,
4803,
33477,
10344,
33417,
31375,
2549,
46107
] | Train |
25,559 | 24 | Title: Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency
Abstract: Independently trained machine learning models tend to learn similar features. Given an ensemble of independently trained models, this results in correlated predictions and common failure mode... | [
31569
] | Train |
25,560 | 24 | Title: TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training
Abstract: Sparsely gated Mixture-of-Expert (MoE) has demonstrated its effectiveness in scaling up deep neural networks to an extreme scale. Despite that numerous efforts have been made to improve the performance of MoE from the model design or system ... | [
42755,
15846
] | Train |
25,561 | 16 | Title: Subclass-balancing Contrastive Learning for Long-tailed Recognition
Abstract: Long-tailed recognition with imbalanced class distribution naturally emerges in practical machine learning applications. Existing methods such as data reweighing, resampling, and supervised contrastive learning enforce the class balanc... | [
23090,
39210
] | Train |
25,562 | 6 | Title: Enhancing Human Capabilities through Symbiotic Artificial Intelligence with Shared Sensory Experiences
Abstract: The merging of human intelligence and artificial intelligence has long been a subject of interest in both science fiction and academia. In this paper, we introduce a novel concept in Human-AI interact... | [
40192,
13700
] | Validation |
25,563 | 27 | Title: Mono Video-Based AI Corridor for Model-Free Detection of Collision-Relevant Obstacles
Abstract: The detection of previously unseen, unexpected obstacles on the road is a major challenge for automated driving systems. Different from the detection of ordinary objects with pre-definable classes, detecting unexpecte... | [] | Validation |
25,564 | 24 | Title: Safe Offline Reinforcement Learning with Real-Time Budget Constraints
Abstract: Aiming at promoting the safe real-world deployment of Reinforcement Learning (RL), research on safe RL has made significant progress in recent years. However, most existing works in the literature still focus on the online setting wh... | [
2073
] | Train |
25,565 | 30 | Title: Integrating Semantic Information into Sketchy Reading Module of Retro-Reader for Vietnamese Machine Reading Comprehension
Abstract: Machine Reading Comprehension has become one of the most advanced and popular research topics in the fields of Natural Language Processing in recent years. The classification of ans... | [] | Train |
25,566 | 23 | Title: Behaviour Driven Development: A Systematic Mapping Study
Abstract: Context: Behaviour Driven Development (BDD) uses scenarios written in semi-structured natural language to express software requirements in a way that can be understood by all stakeholders. The resulting natural language specifications can also be... | [
10714
] | Train |
25,567 | 16 | Title: GAFAR: Graph-Attention Feature-Augmentation for Registration A Fast and Light-weight Point Set Registration Algorithm
Abstract: Rigid registration of point clouds is a fundamental problem in computer vision with many applications from 3D scene reconstruction to geometry capture and robotics. If a suitable initia... | [] | Test |
25,568 | 16 | Title: Hyperbolic Contrastive Learning
Abstract: Learning good image representations that are beneficial to downstream tasks is a challenging task in computer vision. As such, a wide variety of self-supervised learning approaches have been proposed. Among them, contrastive learning has shown competitive performance on ... | [
38401,
15364,
18716
] | Train |
25,569 | 2 | Title: Designing Equilibria in Concurrent Games with Social Welfare and Temporal Logic Constraints
Abstract: In game theory, mechanism design is concerned with the design of incentives so that a desired outcome of the game can be achieved. In this paper, we explore the concept of equilibrium design, where incentives ar... | [
19321
] | Train |
25,570 | 34 | Title: Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study
Abstract: Spatio-temporal trajectory analytics is at the core of smart mobility solutions, which offers unprecedented information for diversified applications such as urban planning, infrastructure development, and vehi... | [] | Validation |
25,571 | 24 | Title: Towards Trustworthy Dataset Distillation
Abstract: Efficiency and trustworthiness are two eternal pursuits when applying deep learning in real-world applications. With regard to efficiency, dataset distillation (DD) endeavors to reduce training costs by distilling the large dataset into a tiny synthetic dataset.... | [
5691,
13855
] | Train |
25,572 | 28 | Title: Transmit Power Minimization for STAR-RIS Empowered Symbiotic Radio Communications
Abstract: In this paper, we propose a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) empowered transmission scheme for symbiotic radio (SR) systems to make more flexibility for network depl... | [] | Train |
25,573 | 30 | Title: Response: Emergent analogical reasoning in large language models
Abstract: In their recent Nature Human Behaviour paper,"Emergent analogical reasoning in large language models,"(Webb, Holyoak, and Lu, 2023) the authors argue that"large language models such as GPT-3 have acquired an emergent ability to find zero-... | [] | Train |
25,574 | 28 | Title: Infomorphic networks: Locally learning neural networks derived from partial information decomposition
Abstract: Understanding the intricate cooperation among individual neurons in performing complex tasks remains a challenge to this date. In this paper, we propose a novel type of model neuron that emulates the f... | [] | Train |
25,575 | 6 | Title: Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline
Abstract: Individuals high in social anxiety symptoms often exhibit elevated state anxiety in social situations. Research has shown it is possible to detect state anxiety by leveraging digital biom... | [] | Train |
25,576 | 27 | Title: FRoGGeR: Fast Robust Grasp Generation via the Min-Weight Metric
Abstract: Many approaches to grasp synthesis optimize analytic quality metrics that measure grasp robustness based on finger placements and local surface geometry. However, generating feasible dexterous grasps by optimizing these metrics is slow, of... | [] | Test |
25,577 | 24 | Title: Learning Multiple Coordinated Agents under Directed Acyclic Graph Constraints
Abstract: This paper proposes a novel multi-agent reinforcement learning (MARL) method to learn multiple coordinated agents under directed acyclic graph (DAG) constraints. Unlike existing MARL approaches, our method explicitly exploits... | [] | Train |
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