node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
39,478 | 34 | Title: High Probability Bounds for Stochastic Continuous Submodular Maximization
Abstract: We consider maximization of stochastic monotone continuous submodular functions (CSF) with a diminishing return property. Existing algorithms only guarantee the performance \textit{in expectation}, and do not bound the probabilit... | [] | Train |
39,479 | 24 | Title: HIQL: Offline Goal-Conditioned RL with Latent States as Actions
Abstract: Unsupervised pre-training has recently become the bedrock for computer vision and natural language processing. In reinforcement learning (RL), goal-conditioned RL can potentially provide an analogous self-supervised approach for making use... | [
44480,
27458,
16407,
36698,
38079
] | Train |
39,480 | 24 | Title: Deep Fusion: Efficient Network Training via Pre-trained Initializations
Abstract: In recent years, deep learning has made remarkable progress in a wide range of domains, with a particularly notable impact on natural language processing tasks. One of the challenges associated with training deep neural networks is... | [
13700,
23029
] | Validation |
39,481 | 4 | Title: Malware Finances and Operations: a Data-Driven Study of the Value Chain for Infections and Compromised Access
Abstract: We investigate the criminal market dynamics of infostealer malware and publish three evidence datasets on malware infections and trade. We justify the value chain between illicit enterprises us... | [
8647
] | Train |
39,482 | 28 | Title: Cache-Aided Communication Schemes via Combinatorial Designs and their q-analogs
Abstract: We consider the standard broadcast setup with a single server broadcasting information to a number of clients, each of which contains local storage (called cache) of some size, which can store some parts of the available fi... | [] | Validation |
39,483 | 24 | Title: FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks
Abstract: Federated training of Graph Neural Networks (GNN) has become popular in recent years due to its ability to perform graph-related tasks under data isolation scenarios while preserving data privacy. However, graph heterogene... | [
41665,
42942,
30334
] | Train |
39,484 | 24 | Title: Exploiting Inferential Structure in Neural Processes
Abstract: Neural Processes (NPs) are appealing due to their ability to perform fast adaptation based on a context set. This set is encoded by a latent variable, which is often assumed to follow a simple distribution. However, in real-word settings, the context... | [] | Train |
39,485 | 24 | Title: Squared Neural Families: A New Class of Tractable Density Models
Abstract: Flexible models for probability distributions are an essential ingredient in many machine learning tasks. We develop and investigate a new class of probability distributions, which we call a Squared Neural Family (SNEFY), formed by squari... | [
1584
] | Train |
39,486 | 30 | Title: Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer
Abstract: Recent studies on knowledge graphs (KGs) show that path-based methods empowered by pre-trained language models perform well in the provision of inductive and explainable relation predictions. In this paper, we introduce the ... | [] | Train |
39,487 | 27 | Title: A Data-Driven Approach to Geometric Modeling of Systems with Low-Bandwidth Actuator Dynamics
Abstract: It is challenging to perform identification on soft robots due to their underactuated, high dimensional dynamics. In this work, we present a data-driven modeling framework, based on geometric mechanics (also kn... | [] | Test |
39,488 | 34 | Title: Sorting wild pigs
Abstract: Chjara, breeder in Carg{\`e}se, has n wild pigs. She would like to sort her herd by weight to better meet the demands of her buyers. Each beast has a distinct weight, alas unknown to Chjara. All she has at her disposal is a Roberval scale, which allows her to compare two pigs only at ... | [] | Train |
39,489 | 23 | Title: Decentralised Governance for Foundation Model based AI Systems: Exploring the Role of Blockchain in Responsible AI
Abstract: Foundation models including large language models (LLMs) are increasingly attracting interest worldwide for their distinguished capabilities and potential to perform a wide variety of task... | [
16556,
17087
] | Train |
39,490 | 4 | Title: A Secure Medical Record Sharing Scheme Based on Blockchain and Two-fold Encryption
Abstract: Usually, a medical record (MR) contains the patients’ disease-oriented sensitive information. In addition, the MR needs to be shared among different bodies, e.g., diagnostic centres, hospitals, physicians, etc. Hence, re... | [] | Train |
39,491 | 24 | Title: Improving Energy Conserving Descent for Machine Learning: Theory and Practice
Abstract: We develop the theory of Energy Conserving Descent (ECD) and introduce ECDSep, a gradient-based optimization algorithm able to tackle convex and non-convex optimization problems. The method is based on the novel ECD framework... | [
39628
] | Train |
39,492 | 25 | Title: APNet: An All-Frame-Level Neural Vocoder Incorporating Direct Prediction of Amplitude and Phase Spectra
Abstract: This paper presents a novel neural vocoder named APNet which reconstructs speech waveforms from acoustic features by predicting amplitude and phase spectra directly. The APNet vocoder is composed of ... | [] | Test |
39,493 | 27 | Title: Augmented Quaternion and Augmented Unit Quaternion Optimization
Abstract: In this paper, we introduce and explore augmented quaternions and augmented unit quaternions, and present an augmented unit quaternion optimization model. An augmented quaternion consist of a quaternion and a translation vector. The multip... | [] | Train |
39,494 | 16 | Title: Overwriting Pretrained Bias with Finetuning Data
Abstract: Transfer learning is beneficial by allowing the expressive features of models pretrained on large-scale datasets to be finetuned for the target task of smaller, more domain-specific datasets. However, there is a concern that these pretrained models may c... | [
39947,
15037
] | Train |
39,495 | 6 | Title: Exploring Affordances for AR in Laparoscopy
Abstract: This paper explores the possibilities of designing AR interfaces to be used during laparoscopy surgery. It suggests that the laparoscopic video be displayed on AR headsets and that surgeons can consult preoperative image data on that display. Interaction with... | [] | Validation |
39,496 | 30 | Title: An Abstract Specification of VoxML as an Annotation Language
Abstract: VoxML is a modeling language used to map natural language expressions into real-time visualizations using commonsense semantic knowledge of objects and events. Its utility has been demonstrated in embodied simulation environments and in agent... | [
8372
] | Test |
39,497 | 25 | Title: Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction
Abstract: The choice of the objective function is crucial in emerging high-quality representations from self-supervised learning. This paper investigates how different formulations of the Barlow Twins (BT) obj... | [] | Test |
39,498 | 16 | Title: Organelle-specific segmentation, spatial analysis, and visualization of volume electron microscopy datasets
Abstract: Volume electron microscopy is the method of choice for the in-situ interrogation of cellular ultrastructure at the nanometer scale. Recent technical advances have led to a rapid increase in large... | [] | Train |
39,499 | 24 | Title: Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling
Abstract: The advances in satellite technology developments have recently seen a large number of small satellites being launched into space on Low Earth orbit (LEO) to collect massive dat... | [
12520,
25403,
2261
] | Validation |
39,500 | 26 | Title: Advancing Network Securing Strategies with Network Algorithms for Integrated Air Defense System (IADS) Missile Batteries
Abstract: Recently, the Integrated Air Defense System (IADS) has become vital for the defense system as the military defense system is vital for national security. Placing Integrated Air Defen... | [] | Validation |
39,501 | 11 | Title: Measuring Causal Responsibility in Multi-Agent Spatial Interactions with Feasible Action-Space Reduction
Abstract: Modelling causal responsibility in multi-agent spatial interactions is crucial for safety and efficiency of interactions of humans with autonomous agents. However, current formal metrics and models ... | [
12792
] | Validation |
39,502 | 30 | Title: Factuality Detection using Machine Translation - a Use Case for German Clinical Text
Abstract: Factuality can play an important role when automatically processing clinical text, as it makes a difference if particular symptoms are explicitly not present, possibly present, not mentioned, or affirmed. In most cases... | [] | Test |
39,503 | 8 | Title: Clipping noise cancellation receiver for the downlink of massive MIMO OFDM system
Abstract: Massive multiple-input multiple-output (mMIMO) technology is considered a key enabler for the 5G and future wireless networks. In most wireless communication systems, mMIMO is employed together with orthogonal frequency-d... | [] | Train |
39,504 | 4 | Title: Single-board Device Individual Authentication based on Hardware Performance and Autoencoder Transformer Models
Abstract: The proliferation of the Internet of Things (IoT) has led to the emergence of crowdsensing applications, where a multitude of interconnected devices collaboratively collect and analyze data. E... | [] | Train |
39,505 | 27 | Title: Optimal Kinematic Design of a Robotic Lizard using Four-Bar and Five-Bar Mechanisms
Abstract: Designing a mechanism to mimic the motion of a common house gecko is the objective of this work. The body of the robot is designed using four five-bar mechanisms (2-RRRRR and 2-RRPRR) and the leg is designed using four ... | [] | Train |
39,506 | 16 | Title: Pseudo Labels Refinement with Intra-camera Similarity for Unsupervised Person Re-identification
Abstract: Unsupervised person re-identification (Re-ID) aims to retrieve person images across cameras without any identity labels. Most clustering-based methods roughly divide image features into clusters and neglect ... | [] | Test |
39,507 | 16 | Title: Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples
Abstract: The vulnerability of Deep Neural Networks (DNNs) to adversarial examples has been confirmed. Existing adversarial defenses primarily aim at preventing adversarial examples from attacking DNNs suc... | [] | Train |
39,508 | 5 | Title: MARS: Exploiting Multi-Level Parallelism for DNN Workloads on Adaptive Multi-Accelerator Systems
Abstract: Along with the fast evolution of deep neural networks, the hardware system is also developing rapidly. As a promising solution achieving high scalability and low manufacturing cost, multi-accelerator system... | [] | Train |
39,509 | 16 | Title: PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning
Abstract: Synthetic image datasets offer unmatched advantages for designing and evaluating deep neural networks: they make it possible to (i) render as many data samples as needed, (ii) precisely control each scene and y... | [
1579,
37053,
17014
] | Test |
39,510 | 22 | Title: An Intermediate Representation for Composable Typed Streaming Dataflow Designs
Abstract: Tydi is an open specification for streaming dataflow designs in digital circuits, allowing designers to express how composite and variable-length data structures are transferred over streams using clear, data-centric types. ... | [] | Test |
39,511 | 8 | Title: FAST: Fidelity-Adjustable Semantic Transmission over Heterogeneous Wireless Networks
Abstract: In this work, we investigate the challenging problem of on-demand semantic communication over heterogeneous wireless networks. We propose a fidelity-adjustable semantic transmission framework (FAST) that empowers wirel... | [
19256,
2892
] | Train |
39,512 | 28 | Title: IRS-Enabled Covert and Reliable Communications: How Many Reflection Elements are Required?
Abstract: Short-packet communications are applied to various scenarios where transmission covertness and reliability are crucial due to the open wireless medium and finite blocklength. Although intelligent reflection surfa... | [] | Test |
39,513 | 30 | Title: Commonsense Reasoning for Conversational AI: A Survey of the State of the Art
Abstract: Large, transformer-based pretrained language models like BERT, GPT, and T5 have demonstrated a deep understanding of contextual semantics and language syntax. Their success has enabled significant advances in conversational A... | [
24793
] | Validation |
39,514 | 24 | Title: Quantifying Overfitting: Introducing the Overfitting Index
Abstract: In the rapidly evolving domain of machine learning, ensuring model generalizability remains a quintessential challenge. Overfitting, where a model exhibits superior performance on training data but falters on unseen data, is a recurrent concern... | [
26048
] | Validation |
39,515 | 14 | Title: An Automatic Method for Generating Symbolic Expressions of Zernike Circular Polynomials
Abstract: Zernike circular polynomials (ZCP) play a significant role in optics engineering. The symbolic expressions for ZCP are valuable for theoretic analysis and engineering designs. However, there are still two problems w... | [] | Train |
39,516 | 4 | Title: Dead Man's PLC: Towards Viable Cyber Extortion for Operational Technology
Abstract: For decades, operational technology (OT) has enjoyed the luxury of being suitably inaccessible so as to experience directly targeted cyber attacks from only the most advanced and well-resourced adversaries. However, security via ... | [] | Train |
39,517 | 24 | Title: CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions
Abstract: We introduce a general framework for active learning in regression problems. Our framework extends the standard setup by allowing for general types of data, rather than merely pointwise samples of the targ... | [
45352
] | Test |
39,518 | 24 | Title: Finite Element Analysis and Machine Learning Guided Design of Carbon Fiber Organosheet-based Battery Enclosures for Crashworthiness
Abstract: Carbon fiber composite can be a potential candidate for replacing metal-based battery enclosures of current electric vehicles (E.V.s) owing to its better strength-to-weigh... | [] | Train |
39,519 | 10 | Title: The Efficacy of Utility Functions for Multicriteria Hospital Case-Mix Planning
Abstract: A new approach to perform hospital case-mix planning (CMP) is introduced in this article. Our multi-criteria approach utilises utility functions (UF) to articulate the preferences and standpoint of independent decision maker... | [] | Train |
39,520 | 2 | Title: Lecture Notes on Monadic First- and Second-Order Logic on Strings
Abstract: These notes present the essentials of first- and second-order monadic logics on strings with introductory purposes. We discuss Monadic First-Order logic and show that it is strictly less expressive than Finite-State Automata, in that it ... | [] | Train |
39,521 | 15 | Title: A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
Abstract: Logic Synthesis (LS) plays a vital role in chip design -- a cornerstone of the semiconductor industry. A key task in LS is to transform circuits -- modeled by directed acyclic graphs (DAGs) -- into simplified circuit... | [
23807,
5292,
3215
] | Train |
39,522 | 24 | Title: Prodigy: An Expeditiously Adaptive Parameter-Free Learner
Abstract: We consider the problem of estimating the learning rate in adaptive methods, such as Adagrad and Adam. We describe two techniques, Prodigy and Resetting, to provably estimate the distance to the solution $D$, which is needed to set the learning ... | [
15816,
16094,
23943
] | Train |
39,523 | 24 | Title: Monotonic Location Attention for Length Generalization
Abstract: We explore different ways to utilize position-based cross-attention in seq2seq networks to enable length generalization in algorithmic tasks. We show that a simple approach of interpolating the original and reversed encoded representations combined... | [] | Train |
39,524 | 30 | Title: RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models
Abstract: To better support information retrieval tasks such as web search and open-domain question answering, growing effort is made to develop retrieval-oriented language models, e.g., RetroMAE and many others. Most of t... | [
9804,
25542
] | Train |
39,525 | 28 | Title: Goal-oriented Tensor: Beyond AoI Towards Semantics-Empowered Goal-oriented Communications
Abstract: The intricate interplay of source dynamics, unreliable channels, and staleness of information has long been recognized as a significant impediment for the receiver to achieve accurate, timely, and most importantly... | [
7008,
15176,
22443
] | Train |
39,526 | 27 | Title: Rearrange Indoor Scenes for Human-Robot Co-Activity
Abstract: We present an optimization-based framework for rearranging indoor furniture to accommodate human-robot co-activities better. The rearrangement aims to afford sufficient accessible space for robot activities without compromising everyday human activiti... | [
27782
] | Test |
39,527 | 8 | Title: An Adaptive Channel Reservation MAC Protocol Based on Forwarding Traffic of Key Nodes
Abstract: Ad Hoc networks with multi-hop topology are widely used in military and civilian applications. One challenge for Ad Hoc networks is to design efficient Media Access Control (MAC) protocols to ensure the quality of ser... | [
28766
] | Validation |
39,528 | 31 | Title: Exploring and Exploiting Data Heterogeneity in Recommendation
Abstract: Massive amounts of data are the foundation of data-driven recommendation models. As an inherent nature of big data, data heterogeneity widely exists in real-world recommendation systems. It reflects the differences in the properties among su... | [] | Train |
39,529 | 30 | Title: Improving Domain-Specific Retrieval by NLI Fine-Tuning
Abstract: The aim of this article is to investigate the fine-tuning potential of natural language inference (NLI) data to improve information retrieval and ranking. We demonstrate this for both English and Polish languages, using data from one of the largest... | [] | Train |
39,530 | 23 | Title: IR Design for Application-Specific Natural Language: A Case Study on Traffic Data
Abstract: In the realm of software applications in the transportation industry, Domain-Specific Languages (DSLs) have enjoyed widespread adoption due to their ease of use and various other benefits. With the ceaseless progress in c... | [] | Validation |
39,531 | 28 | Title: Sparse-DFT and WHT Precoding with Iterative Detection for Highly Frequency-Selective Channels
Abstract: Various precoders have been recently studied by the wireless community to combat the channel fading effects. Two prominent precoders are implemented with the discrete Fourier transform (DFT) and Walsh-Hadamard... | [] | Test |
39,532 | 10 | Title: Set-Type Belief Propagation with Applications to Mapping, MTT, SLAM, and SLAT
Abstract: Belief propagation (BP) is a useful probabilistic inference algorithm for efficiently computing approximate marginal probability densities of random variables. However, in its standard form, BP is applicable to only the vecto... | [] | Validation |
39,533 | 24 | Title: SafeAR: Towards Safer Algorithmic Recourse by Risk-Aware Policies
Abstract: With the growing use of machine learning (ML) models in critical domains such as finance and healthcare, the need to offer recourse for those adversely affected by the decisions of ML models has become more important; individuals ought t... | [
444
] | Train |
39,534 | 30 | Title: On the Independence of Association Bias and Empirical Fairness in Language Models
Abstract: The societal impact of pre-trained language models has prompted researchers to probe them for strong associations between protected attributes and value-loaded terms, from slur to prestigious job titles. Such work is said... | [] | Train |
39,535 | 5 | Title: ARcode: HPC Application Recognition Through Image-encoded Monitoring Data
Abstract: —Knowing HPC applications of jobs and analyzing their performance behavior play important roles in system management and optimizations. The existing approaches detect and identify HPC applications through machine learning models.... | [] | Train |
39,536 | 27 | Title: LiDAR-Generated Images Derived Keypoints Assisted Point Cloud Registration Scheme in Odometry Estimation
Abstract: Keypoint detection and description play a pivotal role in various robotics and autonomous applications including visual odometry (VO), visual navigation, and Simultaneous localization and mapping (S... | [
30785
] | Train |
39,537 | 30 | Title: Using Active Learning Methods to Strategically Select Essays for Automated Scoring
Abstract: Research on automated essay scoring has become increasing important because it serves as a method for evaluating students' written-responses at scale. Scalable methods for scoring written responses are needed as students... | [] | Train |
39,538 | 30 | Title: Building a Non-native Speech Corpus Featuring Chinese-English Bilingual Children: Compilation and Rationale
Abstract: This paper introduces a non-native speech corpus consisting of narratives from fifty 5- to 6-year-old Chinese-English children. Transcripts totaling 6.5 hours of children taking a narrative compr... | [] | Test |
39,539 | 24 | Title: A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data
Abstract: Social media cyberbullying has a detrimental effect on human life. As online social networking grows daily, the amount of hate speech also increases. Such terrible content can cause depression and acti... | [
2354,
27670
] | Validation |
39,540 | 30 | Title: CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models
Abstract: Text classifiers built on Pre-trained Language Models (PLMs) have achieved remarkable progress in various tasks including sentiment analysis, natural language inference, and question-answering. Howeve... | [] | Train |
39,541 | 14 | Title: Transcendence Certificates for D-finite Functions
Abstract: Although in theory we can decide whether a given D-finite function is transcendental, transcendence proofs remain a challenge in practice. Typically, transcendence is certified by checking certain incomplete sufficient conditions. In this paper we propo... | [] | Train |
39,542 | 16 | Title: MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation
Abstract: Previous research has studied the task of segmenting cinematic videos into scenes and into narrative acts. However, these studies have overlooked the essential task of multimodal alignment and fusion for effectivel... | [] | Validation |
39,543 | 24 | Title: Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs
Abstract: Recent studies have shown that episodic reinforcement learning (RL) is no harder than bandits when the total reward is bounded by $1$, and proved regret bounds that have a polylogarithmic dependence on the planning horizon $H$. Howe... | [] | Test |
39,544 | 10 | Title: Transforming the Output of Generative Pre-trained Transformer: The Influence of the PGI Framework on Attention Dynamics
Abstract: This paper presents a novel approach named Persona-Grouping-Intelligence (PGI), which has been crafted to tackle the challenges posed by GPT models when applied to real-world business... | [
28607,
43566,
16471
] | Validation |
39,545 | 16 | Title: SEAM: Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization
Abstract: Mixed-precision quantization (MPQ) suffers from the time-consuming process of searching the optimal bit-width allocation i.e., the policy) for each layer, especially when using large-scale datasets such... | [
40514,
470
] | Validation |
39,546 | 16 | Title: CoVLR: Coordinating Cross-Modal Consistency and Intra-Modal Structure for Vision-Language Retrieval
Abstract: Current vision-language retrieval aims to perform cross-modal instance search, in which the core idea is to learn the consistent visionlanguage representations. Although the performance of cross-modal re... | [] | Train |
39,547 | 6 | Title: Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming
Abstract: AI code generators like OpenAI Codex have the potential to assist novice programmers by generating code from natural language descriptions, however, over-reliance might negatively impact learning and ret... | [
3586,
100,
40036,
8265,
11305,
27563,
36778,
39466,
40650,
21487,
4976,
593,
23983
] | Train |
39,548 | 28 | Title: Information Spectrum Converse for Minimum Entropy Couplings and Functional Representations
Abstract: Given two jointly distributed random variables $\left( {X,Y} \right)$, a functional representation of $X$ is a random variable $Z$ independent of $Y$, and a deterministic function $g\left( { \cdot , \cdot } \righ... | [
21705,
27531
] | Validation |
39,549 | 16 | Title: Learning Road Scene-level Representations via Semantic Region Prediction
Abstract: In this work, we tackle two vital tasks in automated driving systems, i.e., driver intent prediction and risk object identification from egocentric images. Mainly, we investigate the question: what would be good road scene-level r... | [] | Test |
39,550 | 16 | Title: Self-Enhancement Improves Text-Image Retrieval in Foundation Visual-Language Models
Abstract: The emergence of cross-modal foundation models has introduced numerous approaches grounded in text-image retrieval. However, on some domain-specific retrieval tasks, these models fail to focus on the key attributes requ... | [] | Test |
39,551 | 16 | Title: SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation
Abstract: Recently, self-supervised monocular depth estimation has gained popularity with numerous applications in autonomous driving and robotics. However, existing solutions primarily seek to estimate depth from immediate visual... | [
33936
] | Train |
39,552 | 30 | Title: Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews
Abstract: Businesses and customers can gain valuable information from product reviews. The sheer number of reviews often necessitates ranking them based on their potential helpfulness. However, onl... | [] | Train |
39,553 | 30 | Title: Sign Language Translation from Instructional Videos
Abstract: The advances in automatic sign language translation (SLT) to spoken languages have been mostly benchmarked with datasets of limited size and restricted domains. Our work advances the state of the art by providing the first baseline results on How2Sign... | [
22368,
9490,
11822
] | Train |
39,554 | 30 | Title: What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
Abstract: Large Language Models (LLMs) with strong abilities in natural language processing tasks have emerged and have been applied in various kinds of areas such as science, finance and software engineering. However, the c... | [
13700,
15301,
13510,
12602,
12526,
7695,
9840,
16274,
6805,
44246,
45494,
2042
] | Train |
39,555 | 6 | Title: TimeLighting: Guidance-enhanced Exploration of 2D Projections of Temporal Graphs
Abstract: In temporal (or event-based) networks, time is a continuous axis, with real-valued time coordinates for each node and edge. Computing a layout for such graphs means embedding the node trajectories and edge surfaces over ti... | [] | Validation |
39,556 | 24 | Title: CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
Abstract: Hypergraphs can model higher-order relationships among data objects that are found in applications such as social networks and bioinformatics. However, recent studies on hypergraph learning that extend graph convolutional networks to hype... | [
35440
] | Train |
39,557 | 16 | Title: MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning
Abstract: Supervised visual captioning models typically require a large scale of images or videos paired with descriptions in a specific language (i.e., the vision-caption pairs) for training. However, collecting and labeling large-... | [
7553,
30388,
17487
] | Train |
39,558 | 24 | Title: Bridge the Performance Gap in Peak-hour Series Forecasting: The Seq2Peak Framework
Abstract: Peak-Hour Series Forecasting (PHSF) is a crucial yet underexplored task in various domains. While state-of-the-art deep learning models excel in regular Time Series Forecasting (TSF), they struggle to achieve comparable ... | [
28917
] | Train |
39,559 | 16 | Title: CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping
Abstract: Point cloud data plays an essential role in robotics and self-driving applications. Yet, annotating point cloud data is time-consuming and nontrivial while they enable learning discriminative 3D representations that ... | [] | Test |
39,560 | 27 | Title: Learning Robot Geometry as Distance Fields: Applications to Whole-body Manipulation
Abstract: In this work, we propose to learn robot geometry as distance fields (RDF), which extend the signed distance field (SDF) of the robot with joint configurations. Unlike existing methods that learn an implicit representati... | [
16763,
15139,
8925
] | Train |
39,561 | 31 | Title: An Empirical Study of Uniform-Architecture Knowledge Distillation in Document Ranking
Abstract: Although BERT-based ranking models have been commonly used in commercial search engines, they are usually time-consuming for online ranking tasks. Knowledge distillation, which aims at learning a smaller model with co... | [] | Train |
39,562 | 27 | Title: Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning with Transformers
Abstract: Motion planning is integral to robotics applications such as autonomous driving, surgical robots, and industrial manipulators. Existing planning methods lack scalability to higher-dimensional spaces, ... | [] | Train |
39,563 | 24 | Title: QNNRepair: Quantized Neural Network Repair
Abstract: We present QNNRepair, the first method in the literature for repairing quantized neural networks (QNNs). QNNRepair aims to improve the accuracy of a neural network model after quantization. It accepts the full-precision and weight-quantized neural networks and... | [] | Train |
39,564 | 3 | Title: Information governance as a socio-technical process in the development of trustworthy healthcare AI
Abstract: In this paper we describe our experiences of managing information governance (IG) processes for the assurance of healthcare AI, using the example of an out-of-hospital-cardiac-arrest recognition software... | [] | Train |
39,565 | 16 | Title: Learning Higher-order Object Interactions for Keypoint-based Video Understanding
Abstract: Action recognition is an important problem that requires identifying actions in video by learning complex interactions across scene actors and objects. However, modern deep-learning based networks often require significant... | [] | Test |
39,566 | 24 | Title: What can a Single Attention Layer Learn? A Study Through the Random Features Lens
Abstract: Attention layers -- which map a sequence of inputs to a sequence of outputs -- are core building blocks of the Transformer architecture which has achieved significant breakthroughs in modern artificial intelligence. This ... | [
30467,
33220,
40099,
13510,
35764
] | Train |
39,567 | 6 | Title: End-to-End Deep Transfer Learning for Calibration-free Motor Imagery Brain Computer Interfaces
Abstract: A major issue in Motor Imagery Brain-Computer Interfaces (MI-BCIs) is their poor classification accuracy and the large amount of data that is required for subject-specific calibration. This makes BCIs less ac... | [] | Test |
39,568 | 24 | Title: Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration
Abstract: Deep-learning techniques, particularly the transformer model, have shown great potential in enhancing the prediction performance of longitudinal health records. While previous methods have mainly focused on fixed-time r... | [] | Validation |
39,569 | 24 | Title: Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning
Abstract: A fundamental challenge for multi-task learning is that different tasks may conflict with each other when they are solved jointly, and a cause of this phenomenon is conflicting gradients during optimization. Recent works attemp... | [] | Validation |
39,570 | 24 | Title: Building Blocks for a Complex-Valued Transformer Architecture
Abstract: Most deep learning pipelines are built on real-valued operations to deal with real-valued inputs such as images, speech or music signals. However, a lot of applications naturally make use of complex-valued signals or images, such as MRI or r... | [] | Train |
39,571 | 31 | Title: A Static Pruning Study on Sparse Neural Retrievers
Abstract: Sparse neural retrievers, such as DeepImpact, uniCOIL and SPLADE, have been introduced recently as an efficient and effective way to perform retrieval with inverted indexes. They aim to learn term importance and, in some cases, document expansions, to ... | [
19486
] | Train |
39,572 | 23 | Title: A Mapping of Assurance Techniques for Learning Enabled Autonomous Systems to the Systems Engineering Lifecycle
Abstract: Learning enabled autonomous systems provide increased capabilities compared to traditional systems. However, the complexity of and probabilistic nature in the underlying methods enabling such ... | [] | Validation |
39,573 | 24 | Title: Attention Scheme Inspired Softmax Regression
Abstract: Large language models (LLMs) have made transformed changes for human society. One of the key computation in LLMs is the softmax unit. This operation is important in LLMs because it allows the model to generate a distribution over possible next words or phras... | [
2694,
16781,
32416,
11809,
29089,
12966,
29739,
13100,
4909,
29867,
20911,
16949,
24635,
19648,
33220,
17354,
22476,
29006,
7506,
7767,
18392,
7643,
20449,
12898,
46051,
34404,
24299,
2668,
40301,
8436,
11128
] | Validation |
39,574 | 24 | Title: Domain Generalization Deep Graph Transformation
Abstract: Graph transformation that predicts graph transition from one mode to another is an important and common problem. Despite much progress in developing advanced graph transformation techniques in recent years, the fundamental assumption typically required in... | [
26319
] | Train |
39,575 | 24 | Title: Towards Theoretical Understanding of Inverse Reinforcement Learning
Abstract: Inverse reinforcement learning (IRL) denotes a powerful family of algorithms for recovering a reward function justifying the behavior demonstrated by an expert agent. A well-known limitation of IRL is the ambiguity in the choice of the... | [
38790
] | Train |
39,576 | 30 | Title: Safety Assessment of Chinese Large Language Models
Abstract: With the rapid popularity of large language models such as ChatGPT and GPT-4, a growing amount of attention is paid to their safety concerns. These models may generate insulting and discriminatory content, reflect incorrect social values, and may be us... | [
7648,
28580,
39642,
40330,
17263,
1296,
26162,
26035,
1333,
1270,
407,
12981,
35545,
21370,
39451,
19420,
27679
] | Train |
39,577 | 16 | Title: URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation
Abstract: This work aims to estimate a high-quality depth map from a single RGB image. Due to the lack of depth clues, making full use of the long-range correlation and the local information is critical for accurate... | [
39250,
38739,
31605
] | Train |
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