Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
20,678	26	Title: Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar Abstract: nan	[ 5135 ]	Test
20,679	24	Title: VR-LENS: Super Learning-based Cybersickness Detection and Explainable AI-Guided Deployment in Virtual Reality Abstract: Virtual reality (VR) systems are known for their susceptibility to cybersickness, which can seriously hinder users’ experience. Therefore, a plethora of recent research has proposed several aut...	[ 17317 ]	Train
20,680	24	Title: The GANfather: Controllable generation of malicious activity to improve defence systems Abstract: Machine learning methods to aid defence systems in detecting malicious activity typically rely on labelled data. In some domains, such labelled data is unavailable or incomplete. In practice this can lead to low det...	[]	Train
20,681	24	Title: Hierarchical Deep Counterfactual Regret Minimization Abstract: Imperfect Information Games (IIGs) offer robust models for scenarios where decision-makers face uncertainty or lack complete information. Counterfactual Regret Minimization (CFR) has been one of the most successful family of algorithms for tackling I...	[]	Train
20,682	24	Title: Layer-wise Feedback Propagation Abstract: In this paper, we present Layer-wise Feedback Propagation (LFP), a novel training approach for neural-network-like predictors that utilizes explainability, specifically Layer-wise Relevance Propagation(LRP), to assign rewards to individual connections based on their resp...	[]	Train
20,683	8	Title: Real-time Tracking of Medical Devices: An Analysis of Multilateration and Fingerprinting Approaches Abstract: Hospital infrastructures are always in evidence in periods of crisis, such as natural disasters or pandemic events, under stress. The recent COVID-19 pandemic exposed several inefficiencies in hospital s...	[]	Test
20,684	16	Title: Dynamic Implicit Image Function for Efficient Arbitrary-Scale Image Representation Abstract: Recent years have witnessed the remarkable success of implicit neural representation methods. The recent work Local Implicit Image Function (LIIF) has achieved satisfactory performance for continuous image representation...	[]	Train
20,685	16	Title: Discovering Local Binary Pattern Equation for Foreground Object Removal in Videos Abstract: Designing a novel Local Binary Pattern (LBP) process usually relies heavily on human experts' knowledge and experience in the area. Even experts are often left with tedious episodes of trial and error until they identify ...	[]	Train
20,686	27	Title: Combining model-predictive control and predictive reinforcement learning for stable quadrupedal robot locomotion Abstract: Stable gait generation is a crucial problem for legged robot locomotion as this impacts other critical performance factors such as, e.g. mobility over an uneven terrain and power consumption...	[]	Train
20,687	16	Title: Inserting Anybody in Diffusion Models via Celeb Basis Abstract: Exquisite demand exists for customizing the pretrained large text-to-image model, $\textit{e.g.}$, Stable Diffusion, to generate innovative concepts, such as the users themselves. However, the newly-added concept from previous customization methods ...	[ 20960, 7458, 44741, 37126, 16103, 27184, 42104, 26809, 21178, 18205 ]	Test
20,688	16	Title: A Simple Recipe for Competitive Low-compute Self supervised Vision Models Abstract: Self-supervised methods in vision have been mostly focused on large architectures as they seem to suffer from a significant performance drop for smaller architectures. In this paper, we propose a simple self-supervised distillati...	[ 4643 ]	Validation
20,689	24	Title: Understanding plasticity in neural networks Abstract: Plasticity, the ability of a neural network to quickly change its predictions in response to new information, is essential for the adaptability and robustness of deep reinforcement learning systems. Deep neural networks are known to lose plasticity over the c...	[ 11649, 16431, 9839, 4239, 28561, 37210, 635 ]	Train
20,690	24	Title: Passive learning of active causal strategies in agents and language models Abstract: What can be learned about causality and experimentation from passive data? This question is salient given recent successes of passively-trained language models in interactive domains such as tool use. Passive learning is inheren...	[ 7470, 634, 3740, 4446 ]	Validation
20,691	16	Title: Generating Realistic Images from In-the-wild Sounds Abstract: Representing wild sounds as images is an important but challenging task due to the lack of paired datasets between sound and images and the significant differences in the characteristics of these two modalities. Previous studies have focused on genera...	[]	Train
20,692	30	Title: Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting Abstract: Incomplete utterance rewriting has recently raised wide attention. However, previous works do not consider the semantic structural information between incomplete utterance and rewritten utterance or mode...	[ 39862 ]	Train
20,693	10	Title: An Encoder-Decoder Approach for Packing Circles Abstract: The problem of packing smaller objects within a larger object has been of interest since decades. In these problems, in addition to the requirement that the smaller objects must lie completely inside the larger objects, they are expected to not overlap or...	[ 9530 ]	Train
20,694	23	Title: Definition and Detection of Defects in NFT Smart Contracts Abstract: Recently, the birth of non-fungible tokens (NFTs) has attracted great attention. NFTs are capable of representing users’ ownership on the blockchain and have experienced tremendous market sales due to their popularity. Unfortunately, the high v...	[]	Train
20,695	30	Title: Feature-aware conditional GAN for category text generation Abstract: nan	[]	Train
20,696	16	Title: What can generic neural networks learn from a child's visual experience? Abstract: Young children develop sophisticated internal models of the world based on their egocentric visual experience. How much of this is driven by innate constraints and how much is driven by their experience? To investigate these quest...	[ 36267 ]	Validation
20,697	6	Title: Measuring User Experience of Adaptive User Interfaces using EEG: A Replication Study Abstract: Background: Adaptive user interfaces have the advantage of being able to dynamically change their aspect and/or behaviour depending on the characteristics of the context of use, i.e. to improve user experience. User ex...	[]	Train
20,698	2	Title: Domain Theory in Constructive and Predicative Univalent Foundations Abstract: We develop domain theory in constructive and predicative univalent foundations (also known as homotopy type theory). That we work predicatively means that we do not assume Voevodsky's propositional resizing axioms. Our work is construc...	[]	Train
20,699	24	Title: Counterfactual Graph Transformer for Traffic Flow Prediction Abstract: Traffic flow prediction (TFP) is a fundamental problem of the Intelligent Transportation System (ITS), as it models the latent spatial-temporal dependency of traffic flow for potential congestion prediction. Recent graph-based models with mul...	[ 13561, 10642 ]	Test
20,700	24	Title: An overview of differentiable particle filters for data-adaptive sequential Bayesian inference Abstract: By approximating posterior distributions with weighted samples, particle filters (PFs) provide an efficient mechanism for solving non-linear sequential state estimation problems. While the effectiveness of pa...	[]	Test
20,701	24	Title: Intrinsic Rewards from Self-Organizing Feature Maps for Exploration in Reinforcement Learning Abstract: We introduce an exploration bonus for deep reinforcement learning methods calculated using self-organising feature maps. Our method uses adaptive resonance theory (ART) providing online, unsupervised clusterin...	[]	Train
20,702	16	Title: DH-PTAM: A Deep Hybrid Stereo Events-Frames Parallel Tracking And Mapping System Abstract: This paper presents a robust approach for a visual parallel tracking and mapping (PTAM) system that excels in challenging environments. Our proposed method combines the strengths of heterogeneous multi-modal visual sensors...	[]	Validation
20,703	16	Title: Multispectral Contrastive Learning with Viewmaker Networks Abstract: Contrastive learning methods have been applied to a range of domains and modalities by training models to identify similar "views" of data points. However, specialized scientific modalities pose a challenge for this paradigm, as identifying goo...	[]	Test
20,704	22	Title: Sound Symbolic Execution via Abstract Interpretation and its Application to Security Abstract: nan	[]	Validation
20,705	16	Title: AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays Abstract: Unsupervised anomaly detection in medical images such as chest radiographs is stepping into the spotlight as it mitigates the scarcity of the labor-intensive and costly expert annotation of anomal...	[]	Train
20,706	5	Title: Boosting Distributed Machine Learning Training Through Loss-tolerant Transmission Protocol Abstract: Distributed Machine Learning (DML) systems are utilized to enhance the speed of model training in data centers (DCs) and edge nodes. The Parameter Server (PS) communication architecture is commonly employed, but ...	[ 36909 ]	Train
20,707	7	Title: Data-driven Modified Nodal Analysis Circuit Solver Abstract: This work introduces a novel data-driven modified nodal analysis (MNA) circuit solver. The solver is capable of handling circuit problems featuring elements for which solely measurement data are available. Rather than utilizing hard-coded phenomenologi...	[]	Train
20,708	13	Title: eVAE: Evolutionary Variational Autoencoder Abstract: The surrogate loss of variational autoencoders (VAEs) poses various challenges to their training, inducing the imbalance between task ﬁtting and representation inference. To avert this, the existing strategies for VAEs focus on adjusting the tradeoff by introd...	[ 44268 ]	Validation
20,709	30	Title: Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback Abstract: Large language models (LLMs) are used to generate content for a wide range of tasks, and are set to reach a growing audience in coming years due to integration in pr...	[ 1250, 45923, 28674, 25349, 27138, 11273, 35627, 44537, 10749, 37310 ]	Train
20,710	30	Title: On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research Abstract: Perception of toxicity evolves over time and often differs between geographies and cultural backgrounds. Similarly, black-box commercially available APIs for detecting toxicity, such as the Perspective API, are not static, bu...	[ 34208, 28807, 40586, 29396, 11704, 25021 ]	Train
20,711	16	Title: Single Image Depth Prediction Made Better: A Multivariate Gaussian Take Abstract: Neural-network-based single image depth prediction (SIDP) is a challenging task where the goal is to predict the scene's per-pixel depth at test time. Since the problem, by definition, is illposed, the fundamental goal is to come u...	[ 3938 ]	Train
20,712	4	Title: An Overview of FPGA-inspired Obfuscation Techniques Abstract: Building and maintaining a silicon foundry is a costly endeavor that requires substantial financial investment. From this scenario, the semiconductor business has largely shifted to a fabless model where the Integrated Circuit supply chain is globaliz...	[]	Train
20,713	24	Title: Exploration of carbonate aggregates in road construction using ultrasonic and artificial intelligence approaches Abstract: The COVID-19 pandemic has significantly impacted the construction sector, which is sensitive to economic cycles. In order to boost value and efficiency in this sector, the use of innovative ...	[]	Test
20,714	16	Title: Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis Abstract: Image synthesis is expected to provide value for the translation of machine learning methods into clinical practice. Fundamental problems like model robustness, domain transfer, causal modelling, and operator train...	[ 42272 ]	Train
20,715	30	Title: MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset Abstract: Sentence Boundary Detection (SBD) is one of the foundational building blocks of Natural Language Processing (NLP), with incorrectly split sentences heavily influencing the output quality of downstream tasks. It is a challenging tas...	[ 30323, 33836 ]	Test
20,716	24	Title: Searching for Effective Neural Network Architectures for Heart Murmur Detection from Phonocardiogram Abstract: Aim: The George B. Moody PhysioNet Challenge 2022 raised problems of heart murmur detection and related abnormal cardiac function identification from phonocardiograms (PCGs). This work describes the nov...	[]	Test
20,717	31	Title: Unlocking Insights into Business Trajectories with Transformer-based Spatio-temporal Data Analysis Abstract: The world of business is constantly evolving and staying ahead of the curve requires a deep understanding of market trends and performance. This article addresses this requirement by modeling business tra...	[]	Train
20,718	6	Title: On the Forces of Driver Distraction: Explainable Predictions for the Visual Demand of In-Vehicle Touchscreen Interactions Abstract: nan	[ 32500 ]	Train
20,719	17	Title: Space Partitioning Schemes and Algorithms for Generating Regular and Spiral Treemaps Abstract: Treemaps have been widely applied to the visualization of hierarchical data. A treemap takes a weighted tree and visualizes its leaves in a nested planar geometric shape, with sub-regions partitioned such that each sub...	[]	Test
20,720	6	Title: Fitting Bell Curves to Data Distributions using Visualization Abstract: Idealized probability distributions, such as normal or other curves, lie at the root of confirmatory statistical tests. But how well do people understand these idealized curves? In practical terms, does the human visual system allow us to ma...	[]	Train
20,721	30	Title: Now It Sounds Like You: Learning Personalized Vocabulary On Device Abstract: In recent years, Federated Learning (FL) has shown significant advancements in its ability to perform various natural language processing (NLP) tasks. This work focuses on applying personalized FL for on-device language modeling. Due to...	[]	Train
20,722	16	Title: EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation Abstract: The ubiquitous multi-camera setup on modern autonomous vehicles provides an opportunity to construct surround-view depth. Existing methods, however, either perform independent monocular depth estimations on each cam...	[ 39250, 41125 ]	Validation
20,723	10	Title: Detection of Unknown-Unknowns in Cyber-Physical Systems using Statistical Conformance with Physics Guided Process Models Abstract: Unknown unknowns are operational scenarios in a cyber-physical system that are not accounted for in the design and test phase. As such under unknown-unknown scenarios, the operationa...	[]	Train
20,724	5	Title: Subgraph Stationary Hardware-Software Inference Co-Design Abstract: A growing number of applications depend on Machine Learning (ML) functionality and benefits from both higher quality ML predictions and better timeliness (latency) at the same time. A growing body of research in computer architecture, ML, and sy...	[ 21881 ]	Train
20,725	30	Title: Incorporating Graph Information in Transformer-based AMR Parsing Abstract: Abstract Meaning Representation (AMR) is a Semantic Parsing formalism that aims at providing a semantic graph abstraction representing a given text. Current approaches are based on autoregressive language models such as BART or T5, fine-t...	[]	Train
20,726	31	Title: A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News Abstract: Online news platforms commonly employ personalized news recommendation methods to assist users in discovering interesting articles, and many previous works have utilized language model techniques to cap...	[ 12128, 40453, 30131, 10069, 19159, 35580, 9917 ]	Train
20,727	24	Title: Online Learning and Disambiguations of Partial Concept Classes Abstract: In a recent article, Alon, Hanneke, Holzman, and Moran (FOCS '21) introduced a unifying framework to study the learnability of classes of partial concepts. One of the central questions studied in their work is whether the learnability of a ...	[]	Train
20,728	30	Title: MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer Abstract: Unsupervised text style transfer task aims to rewrite a text into target style while preserving its main content. Traditional methods rely on the use of a fixed-sized vector to regulate text style, which is diffi...	[]	Validation
20,729	24	Title: Dual Gauss-Newton Directions for Deep Learning Abstract: Inspired by Gauss-Newton-like methods, we study the benefit of leveraging the structure of deep learning objectives, namely, the composition of a convex loss function and of a nonlinear network, in order to derive better direction oracles than stochastic g...	[]	Validation
20,730	24	Title: On-Demand Communication for Asynchronous Multi-Agent Bandits Abstract: This paper studies a cooperative multi-agent multi-armed stochastic bandit problem where agents operate asynchronously -- agent pull times and rates are unknown, irregular, and heterogeneous -- and face the same instance of a K-armed bandit p...	[ 36513 ]	Train
20,731	3	Title: A Case Study in Engineering a Conversational Programming Assistant's Persona 121-129 Abstract: The Programmer's Assistant is an experimental prototype software development environment that integrates a chatbot with a code editor. Conversational capability was achieved by using an existing code-fluent Large Langu...	[ 11761 ]	Test
20,732	27	Title: Learning Agile Flights Through Narrow Gaps with Varying Angles Using Onboard Sensing Abstract: This letter addresses the problem of traversing through unknown, tilted, and narrow gaps for quadrotors using Deep Reinforcement Learning (DRL). Previous learning-based methods relied on accurate knowledge of the envir...	[ 42946 ]	Train
20,733	25	Title: EmoGen: Eliminating Subjective Bias in Emotional Music Generation Abstract: Music is used to convey emotions, and thus generating emotional music is important in automatic music generation. Previous work on emotional music generation directly uses annotated emotion labels as control signals, which suffers from s...	[]	Test
20,734	24	Title: The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation Abstract: The MuSe 2023 is a set of shared tasks addressing three different contemporary multimodal affect and sentiment analysis problems: In the Mimicked Emotions Sub-Challenge (MuSe-Mimic), par...	[ 38611 ]	Validation
20,735	3	Title: Understanding Online Behaviors through a Temporal Lens Abstract: : Timestamps in digital traces include significant detailed information on when human behaviors occur, which is universally available and standardized in all types of digital traces. Nevertheless, the concept of time is under-explicated in empirica...	[]	Validation
20,736	16	Title: Improving Misaligned Multi-modality Image Fusion with One-stage Progressive Dense Registration Abstract: Misalignments between multi-modality images pose challenges in image fusion, manifesting as structural distortions and edge ghosts. Existing efforts commonly resort to registering first and fusing later, typi...	[ 949 ]	Validation
20,737	16	Title: Bayesian Optimization Meets Self-Distillation Abstract: Bayesian optimization (BO) has contributed greatly to improving model performance by suggesting promising hyperparameter configurations iteratively based on observations from multiple training trials. However, only partial knowledge (i.e., the measured perf...	[]	Test
20,738	16	Title: Semantic-visual Guided Transformer for Few-shot Class-incremental Learning Abstract: Few-shot class-incremental learning (FSCIL) has recently attracted extensive attention in various areas. Existing FSCIL methods highly depend on the robustness of the feature backbone pre-trained on base classes. In recent years...	[ 23560, 27209, 39863 ]	Train
20,739	30	Title: Investigating the Effectiveness of ChatGPT in Mathematical Reasoning and Problem Solving: Evidence from the Vietnamese National High School Graduation Examination Abstract: This study offers a complete analysis of ChatGPT's mathematics abilities in responding to multiple-choice questions for the Vietnamese Natio...	[ 33220, 16841, 44173, 8436, 44246, 28087, 12602 ]	Train
20,740	16	Title: Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation Abstract: Optical flow estimation is crucial for autonomous navigation and localization of unmanned aerial vehicles (UAV). On micro and nano UAVs, real-time calculation of the optical flow is run on low power and r...	[]	Validation
20,741	23	Title: A Perspective on the Role of Human Behaviors in Software Development: Voice and Silence Abstract: Context: Most software companies strive to have high-performing teams and mitigate withdrawal behaviors like being present but unproductive. In this context, psychological safety and developers perceived impact are ...	[ 5668 ]	Test
20,742	16	Title: Therbligs in Action: Video Understanding through Motion Primitives Abstract: In this paper we introduce a rule-based, compositional, and hierarchical modeling of action using Therbligs as our atoms. Introducing these atoms provides us with a consistent, expressive, contact-centered representation of action. Over...	[]	Train
20,743	24	Title: pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning Abstract: The federated learning (FL) paradigm emerges to preserve data privacy during model training by only exposing clients' model parameters rather than original data. One of the biggest challenges in FL lies in the non-IID (...	[ 37927 ]	Train
20,744	28	Title: Fluid Antenna-Aided Full Duplex Communications: A Macroscopic Point-of-View Abstract: The synergy of fluid-based reconfigurable antenna (FA) technology and full-duplex (FD) communications can be jointly beneficial, as FD can enhance the spectral efficiency of a point-to-point link, while the new degree of freedo...	[]	Train
20,745	24	Title: Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning Abstract: We propose a model-free reinforcement learning architecture, called distributed attentional actor architecture after conditional attention (DA6-X), to provide better interpretability of conditional coordinated b...	[]	Train
20,746	36	Title: Addressing bias in online selection with limited budget of comparisons Abstract: Consider a hiring process with candidates coming from different universities. It is easy to order candidates who have the same background, yet it can be challenging to compare them otherwise. The latter case requires additional cost...	[ 30412 ]	Test
20,747	16	Title: ReIDTrack: Multi-Object Track and Segmentation Without Motion Abstract: In recent years, dominant Multi-object tracking (MOT) and segmentation (MOTS) methods mainly follow the tracking-by-detection paradigm. Transformer-based end-to-end (E2E) solutions bring some ideas to MOT and MOTS, but they cannot achieve a ...	[]	Test
20,748	16	Title: CoReFace: Sample-Guided Contrastive Regularization for Deep Face Recognition Abstract: The discriminability of feature representation is the key to open-set face recognition. Previous methods rely on the learnable weights of the classification layer that represent the identities. However, the evaluation process ...	[]	Validation
20,749	16	Title: Character Time-series Matching For Robust License Plate Recognition Abstract: Automatic License Plate Recognition (ALPR) is becoming a popular study area and is applied in many fields such as transportation or smart city. However, there are still several limitations when applying many current methods to practica...	[]	Train
20,750	6	Title: Prompt Engineering For Students of Medicine and Their Teachers Abstract: "Prompt Engineering for Students of Medicine and Their Teachers"brings the principles of prompt engineering for large language models such as ChatGPT and Google Bard to medical education. This book contains a comprehensive guide to prompt e...	[ 35824, 43566 ]	Validation
20,751	23	Title: Rethinking Certification for Higher Trust and Ethical Safeguarding of Autonomous Systems Abstract: With the increasing complexity of software permeating critical domains such as autonomous driving, new challenges are emerging in the ways the engineering of these systems needs to be rethought. Autonomous driving ...	[]	Train
20,752	27	Title: Active Pose Refinement for Textureless Shiny Objects using the Structured Light Camera Abstract: 6D pose estimation of textureless shiny objects has become an essential problem in many robotic applications. Many pose estimators require high-quality depth data, often measured by structured light cameras. However,...	[ 9707 ]	Train
20,753	16	Title: Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models Abstract: The rise of deepfake images, especially of well-known personalities, poses a serious threat to the dissemination of authentic information. To tackle this, we present a thorough investigation into how deepfakes are prod...	[ 2317 ]	Train
20,754	3	Title: Enclosed Loops: How open source communities become datasets Abstract: Centralization in code hosting and package management in the 2010s created fundamental shifts in the social arrangements of open source ecosystems. In a regime of centralized open source, platform effects can both empower and detract from comm...	[ 30061, 14869, 43471 ]	Validation
20,755	24	Title: Learning Fair Classifiers via Min-Max F-divergence Regularization Abstract: As machine learning (ML) based systems are adopted in domains such as law enforcement, criminal justice, finance, hiring and admissions, ensuring the fairness of ML aided decision-making is becoming increasingly important. In this paper,...	[]	Validation
20,756	3	Title: Anatomy of an AI-powered malicious social botnet Abstract: Large language models (LLMs) exhibit impressive capabilities in generating realistic text across diverse subjects. Concerns have been raised that they could be utilized to produce fake content with a deceptive intention, although evidence thus far remain...	[ 28555, 25367, 39322, 43930, 16556, 44603, 315, 35388, 22476, 29010, 18134, 40152, 38235, 12128, 37742, 497, 7796, 39413, 28924, 1917 ]	Validation
20,757	30	Title: LLMediator: GPT-4 Assisted Online Dispute Resolution Abstract: In this article, we introduce LLMediator, an experimental platform designed to enhance online dispute resolution (ODR) by utilizing capabilities of state-of-the-art large language models (LLMs) such as GPT-4. In the context of high-volume, low-intens...	[ 29249, 4674, 13700, 13510, 37931, 16430, 38870, 6810 ]	Test
20,758	26	Title: Measures and Optimization for Robustness and Vulnerability in Disconnected Networks Abstract: The function or performance of a network is strongly dependent on its robustness, which quantifies the ability of the network to continue functioning under perturbations. While a wide variety of robustness metrics have ...	[ 29823 ]	Validation
20,759	16	Title: Self-Supervised Image Denoising for Real-World Images With Context-Aware Transformer Abstract: In recent years, the development of deep learning has been pushing image denoising to a new level. Among them, self-supervised denoising is increasingly popular because it does not require any prior knowledge. Most of ...	[ 44160, 8257, 25444, 4871, 41004, 16084, 33530, 27197 ]	Test
20,760	10	Title: Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles Abstract: Computational agents support humans in many areas of life and are therefore found in heterogeneous contexts. This means they operate in rapidly changing environments and can be confronted with h...	[]	Validation
20,761	31	Title: Exploration of Unranked Items in Safe Online Learning to Re-Rank Abstract: Bandit algorithms for online learning to rank (OLTR) problems often aim to maximize long-term revenue by utilizing user feedback. From a practical point of view, however, such algorithms have a high risk of hurting user experience due to ...	[]	Test
20,762	30	Title: GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model Abstract: Currently, the reduction in the parameter scale of large-scale pre-trained language models (PLMs) through knowledge distillation has greatly facilitated their widespread deployment on various devices. However, th...	[ 28606 ]	Train
20,763	10	Title: Are Good Explainers Secretly Human-in-the-Loop Active Learners? Abstract: Explainable AI (XAI) techniques have become popular for multiple use-cases in the past few years. Here we consider its use in studying model predictions to gather additional training data. We argue that this is equivalent to Active Learnin...	[]	Train
20,764	30	Title: Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions Abstract: Large-scale Pretrained Language Models (LLMs), such as ChatGPT and GPT4, have shown strong abilities in multilingual translations, without being explicitly trained on parallel corpora. I...	[ 13700, 9734, 32744, 23883, 27340, 44811, 1789, 15358 ]	Test
20,765	22	Title: FLAME: A small language model for spreadsheet formulas Abstract: The widespread use of spreadsheet environments by billions of users presents a unique opportunity for formula-authoring assistance. Although large language models, such as Codex, can assist in general-purpose languages, they are expensive to train ...	[ 12721, 17255 ]	Train
20,766	25	Title: Towards Solving Cocktail-Party: The First Method to Build a Realistic Dataset with Ground Truths for Speech Separation Abstract: Speech separation is very important in real-world applications such as human-machine interaction, hearing aids devices, and automatic meeting transcription. In recent years, a signific...	[ 9442 ]	Validation
20,767	24	Title: Abnormal Event Detection via Hypergraph Contrastive Learning Abstract: Abnormal event detection, which refers to mining unusual interactions among involved entities, plays an important role in many real applications. Previous works mostly over-simplify this task as detecting abnormal pair-wise interactions. Howe...	[]	Train
20,768	27	Title: Challenges for Monocular 6D Object Pose Estimation in Robotics Abstract: Object pose estimation is a core perception task that enables, for example, object grasping and scene understanding. The widely available, inexpensive and high-resolution RGB sensors and CNNs that allow for fast inference based on this moda...	[ 34497, 36257, 4526, 15029, 35287, 8478, 11423 ]	Train
20,769	16	Title: DC3DCD: unsupervised learning for multiclass 3D point cloud change detection Abstract: In a constant evolving world, change detection is of prime importance to keep updated maps. To better sense areas with complex geometry (urban areas in particular), considering 3D data appears to be an interesting alternative ...	[ 45218, 1559 ]	Test
20,770	16	Title: Few-Shot Object Detection via Synthetic Features with Optimal Transport Abstract: Few-shot object detection aims to simultaneously localize and classify the objects in an image with limited training samples. However, most existing few-shot object detection methods focus on extracting the features of a few sample...	[ 14639 ]	Train
20,771	16	Title: Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning Abstract: Deception detection in conversations is a challenging yet important task, having pivotal applications in many fields such as credibility assessment in business, multimedia anti-frauds, and custom security. Despi...	[]	Test
20,772	3	Title: Get Out of the Nest! Drivers of Social Influence in the #TwitterMigration to Mastodon Abstract: The migration of Twitter users to Mastodon following Elon Musk's acquisition presents a unique opportunity to study collective behavior and gain insights into the drivers of coordinated behavior in online media. We an...	[ 12952, 32977, 4492, 37551 ]	Train
20,773	24	Title: Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric Abstract: Heterogeneous graphs offer powerful data representations for traffic, given their ability to model the complex interaction effects among a varying number of traffic participants and th...	[ 31876 ]	Train
20,774	1	Title: Memory-augmented Contrastive Learning for Talking Head Generation Abstract: Given one reference facial image and a piece of speech as input, talking head generation aims to synthesize a realistic-looking talking head video. However, generating a lip-synchronized video with natural head movements is challenging. ...	[ 8424, 18483 ]	Train
20,775	30	Title: Generating Topic Pages for Scientific Concepts Using Scientific Publications Abstract: nan	[ 36027 ]	Train
20,776	4	Title: Classification and Online Clustering of Zero-Day Malware Abstract: A large amount of new malware is constantly being generated, which must not only be distinguished from benign samples, but also classified into malware families. For this purpose, investigating how existing malware families are developed and exam...	[]	Validation
20,777	16	Title: Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation Abstract: Semi-Supervised Semantic Segmentation (S4) aims to train a segmentation model with limited labeled images and a substantial volume of unlabeled images. To improve the robustness of representations,...	[ 24131 ]	Train

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