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
19,878	10	Title: Neuro-Symbolic Sudoku Solver Abstract: Deep Neural Networks have achieved great success in some of the complex tasks that humans can do with ease. These include image recognition/classification, natural language processing, game playing etc. However, modern Neural Networks fail or perform poorly when trained on ...	[]	Train
19,879	16	Title: A Survey on Change Detection Techniques in Document Images Abstract: The problem of change detection in images finds application in different domains like diagnosis of diseases in the medical field, detecting growth patterns of cities through remote sensing, and finding changes in legal documents and contracts. ...	[]	Train
19,880	24	Title: Provably Correct Physics-Informed Neural Networks Abstract: Recent work provides promising evidence that Physics-informed neural networks (PINN) can efficiently solve partial differential equations (PDE). However, previous works have failed to provide guarantees on the worst-case residual error of a PINN across ...	[]	Train
19,881	24	Title: Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks Abstract: Graph Convolutional Networks (GCNs) have been proved successful in the field of semi-supervised node classification by extracting structural information from graph data. However, the random selection of ...	[]	Train
19,882	16	Title: SportsSloMo: A New Benchmark and Baselines for Human-centric Video Frame Interpolation Abstract: Human-centric video frame interpolation has great potential for improving people's entertainment experiences and finding commercial applications in the sports analysis industry, e.g., synthesizing slow-motion videos....	[ 5632, 43465, 42866 ]	Test
19,883	28	Title: Relay-Enabled Backscatter Communications: Linear Mapping and Resource Allocation Abstract: Relay-enabled backscatter communication (BC) is an intriguing paradigm to alleviate energy shortage and improve throughput of Internet-of-Things (IoT) devices. Most of the existing works focus on the resource allocation th...	[]	Train
19,884	16	Title: PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation Abstract: In light of the significant progress made in the development and application of semantic segmentation tasks, there has been increasing attention towards improving the robustness of segmentation models...	[ 22372 ]	Train
19,885	30	Title: LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding Abstract: Although large language models (LLMs) demonstrate impressive performance for many language tasks, most of them can only handle texts a few thousand tokens long, limiting their applications on longer sequence inputs, such as book...	[ 27936, 39873, 43201, 23302, 7207, 41453, 42574, 29455, 29549, 12981, 5077, 43641, 9403, 29725 ]	Train
19,886	16	Title: Adapt and Align to Improve Zero-Shot Sketch-Based Image Retrieval Abstract: Zero-shot sketch-based image retrieval (ZS-SBIR) is challenging due to the cross-domain nature of sketches and photos, as well as the semantic gap between seen and unseen image distributions. Previous methods fine-tune pre-trained models...	[ 39106, 32423 ]	Train
19,887	16	Title: Less is More: Focus Attention for Efficient DETR Abstract: DETR-like models have significantly boosted the performance of detectors and even outperformed classical convolutional models. However, all tokens are treated equally without discrimination brings a redundant computational burden in the traditional encod...	[]	Test
19,888	16	Title: C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model Abstract: Co-speech gesture generation is crucial for automatic digital avatar animation. However, existing methods suffer from issues such as unstable training and temporal inconsistency, particularly in generating high-fidelity and com...	[ 41699, 15628, 8718, 32882, 17241, 17178, 42397 ]	Train
19,889	16	Title: Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical Learning Abstract: Intracranial hemorrhage (ICH) is a life-threatening medical emergency that requires timely and accurate diagnosis for effective treatment and impro...	[]	Train
19,890	10	Title: Semantic Information Marketing in The Metaverse: A Learning-Based Contract Theory Framework Abstract: In this paper, we address the problem of designing incentive mechanisms by a virtual service provider (VSP) to hire sensing IoT devices to sell their sensing data to help creating and rendering the digital copy ...	[]	Train
19,891	16	Title: A Horse with no Labels: Self-Supervised Horse Pose Estimation from Unlabelled Images and Synthetic Prior Abstract: Obtaining labelled data to train deep learning methods for estimating animal pose is challenging. Recently, synthetic data has been widely used for pose estimation tasks, but most methods still rely...	[ 5987, 24341 ]	Train
19,892	28	Title: Integrated Access and Backhaul in 5G with Aerial Distributed Unit using OpenAirInterface Abstract: In this work, we demonstrate the Integrated Access and Backhaul (IAB) capabilities of an aerial robot offering 5G connectivity to ground users. The robot is integrated with a distributed unit (DU) and has 5G wirele...	[]	Test
19,893	16	Title: CCD-3DR: Consistent Conditioning in Diffusion for Single-Image 3D Reconstruction Abstract: In this paper, we present a novel shape reconstruction method leveraging diffusion model to generate 3D sparse point cloud for the object captured in a single RGB image. Recent methods typically leverage global embedding o...	[ 22163, 30566, 34399 ]	Test
19,894	6	Title: Detection Threshold of Audio Haptic Asynchrony in a Driving Context Abstract: In order to provide perceptually accurate multimodal feedback during driving situations, it is vital to understand the threshold at which drivers are able to recognize asyncrony between multiple incoming Stimuli. In this work, we inves...	[]	Train
19,895	24	Title: Tight Bounds for Machine Unlearning via Differential Privacy Abstract: We consider the formulation of"machine unlearning"of Sekhari, Acharya, Kamath, and Suresh (NeurIPS 2021), which formalizes the so-called"right to be forgotten"by requiring that a trained model, upon request, should be able to"unlearn"a number...	[]	Train
19,896	16	Title: OpenGCD: Assisting Open World Recognition with Generalized Category Discovery Abstract: A desirable open world recognition (OWR) system requires performing three tasks: (1) Open set recognition (OSR), i.e., classifying the known (classes seen during training) and rejecting the unknown (unseen$/$novel classes) on...	[ 7175 ]	Test
19,897	4	Title: Dynamic, Private, Anonymous, Collateralizable Commitments vs. MEV Abstract: We introduce DPACCs, a generalized commitment scheme based on smart contract wallets and non-interactive zero knowledge proofs. DPACCs allow any smart contract wallet holder to collateralize a claim, request, or commitment in general, in...	[ 2462 ]	Validation
19,898	16	Title: Recurrent Multi-scale Transformer for High-Resolution Salient Object Detection Abstract: Salient Object Detection (SOD) aims to identify and segment the most conspicuous objects in an image or video. As an important pre-processing step, it has many potential applications in multimedia and vision tasks. With the ...	[]	Train
19,899	24	Title: Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy Abstract: Group imbalance, resulting from inadequate or unrepresentative data collection methods, is a primary cause of representation bias in datasets. Representation bias can exist with respect to different groups of one o...	[]	Train
19,900	39	Title: Balanced Allocations in Batches: The Tower of Two Choices Abstract: In the balanced allocation framework, the goal is to allocate m balls into n bins, so as to minimize the gap (difference of maximum to average load). The One-Choice process allocates each ball to a bin sampled independently and uniformly at rand...	[]	Train
19,901	16	Title: Lightweight Super-Resolution Head for Human Pose Estimation Abstract: Heatmap-based methods have become the mainstream method for pose estimation due to their superior performance. However, heatmap-based approaches suffer from significant quantization errors with downscale heatmaps, which result in limited perfo...	[]	Train
19,902	16	Title: Self-supervised Learning of Rotation-invariant 3D Point Set Features using Transformer and its Self-distillation Abstract: Invariance against rotations of 3D objects is an important property in analyzing 3D point set data. Conventional 3D point set DNNs having rotation invariance typically obtain accurate 3D sha...	[]	Train
19,903	27	Title: FORFIS: A forest fire firefighting simulation tool for education and research Abstract: We present a forest fire firefighting simulation tool named FORFIS that is implemented in Python. Unlike other existing software, we focus on a user-friendly software interface with an easy-to-modify software engine. Our tool...	[]	Train
19,904	30	Title: COMET-M: Reasoning about Multiple Events in Complex Sentences Abstract: Understanding the speaker's intended meaning often involves drawing commonsense inferences to reason about what is not stated explicitly. In multi-event sentences, it requires understanding the relationships between events based on contextua...	[ 37104 ]	Validation
19,905	27	Title: Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization Abstract: We present a method for synthesizing dynamic, reduced-order output-feedback polynomial control policies for control-affine nonlinear systems which guarantees runtime stability to a goal state, w...	[ 35550 ]	Train
19,906	16	Title: The 2nd Place Solution for 2023 Waymo Open Sim Agents Challenge Abstract: In this technical report, we present the 2nd place solution of 2023 Waymo Open Sim Agents Challenge (WOSAC)[4]. We propose a simple yet effective autoregressive method for simulating multi-agent behaviors, which is built upon a well-known ...	[ 9743 ]	Train
19,907	16	Title: Customized Segment Anything Model for Medical Image Segmentation Abstract: We propose SAMed, a general solution for medical image segmentation. Different from the previous methods, SAMed is built upon the large-scale image segmentation model, Segment Anything Model (SAM), to explore the new research paradigm of ...	[ 3585, 13700, 43795, 22808, 10778, 26269, 12704, 41008, 38066, 13876, 23092, 26292, 35641, 30526, 35263, 29646, 37851, 25955, 42599, 25703, 36328, 22632, 242, 4083 ]	Validation
19,908	30	Title: LMExplainer: a Knowledge-Enhanced Explainer for Language Models Abstract: Large language models (LLMs) such as GPT-4 are very powerful and can process different kinds of natural language processing (NLP) tasks. However, it can be difficult to interpret the results due to the multi-layer nonlinear model structure...	[ 29714, 33220 ]	Train
19,909	16	Title: Link-Context Learning for Multimodal LLMs Abstract: The ability to learn from context with novel concepts, and deliver appropriate responses are essential in human conversations. Despite current Multimodal Large Language Models (MLLMs) and Large Language Models (LLMs) being trained on mega-scale datasets, recogn...	[ 10624, 13345, 39873, 37987, 37767, 13935, 27454, 41104, 37872, 6963, 15413, 1854 ]	Train
19,910	36	Title: Participatory Budgeting: Data, Tools, and Analysis Abstract: We provide a library of participatory budgeting data (Pabulib) and open source tools (Pabutools and Pabustats) for analysing this data. We analyse how the results of participatory budgeting elections would change if a different selection rule was app...	[ 30097, 16835, 28804, 26198 ]	Test
19,911	28	Title: Reliable and Unreliable Sources in Age-Based Gossiping Abstract: We consider a network consisting of n nodes that aim to track a continually updating process or event. To disseminate updates about the event to the network, two sources are available, such that information obtained from one source is considered mo...	[ 26302, 24029, 40142 ]	Train
19,912	6	Title: Semantic reconstruction of continuous language from MEG signals Abstract: Decoding language from neural signals holds considerable theoretical and practical importance. Previous research has indicated the feasibility of decoding text or speech from invasive neural signals. However, when using non-invasive neural...	[]	Validation
19,913	24	Title: Predictive Experience Replay for Continual Visual Control and Forecasting Abstract: Learning physical dynamics in a series of non-stationary environments is a challenging but essential task for model-based reinforcement learning (MBRL) with visual inputs. It requires the agent to consistently adapt to novel task...	[]	Train
19,914	4	Title: Arion: Arithmetization-Oriented Permutation and Hashing from Generalized Triangular Dynamical Systems Abstract: In this paper we propose the (keyed) permutation Arion and the hash function ArionHash over $\mathbb{F}_p$ for odd and particularly large primes. The design of Arion is based on the newly introduced Ge...	[]	Train
19,915	10	Title: Framing Relevance for Safety-Critical Autonomous Systems Abstract: We are in the process of building complex highly autonomous systems that have build-in beliefs, perceive their environment and exchange information. These systems construct their respective world view and based on it they plan their future manoeu...	[]	Validation
19,916	30	Title: Transfer to a Low-Resource Language via Close Relatives: The Case Study on Faroese Abstract: Multilingual language models have pushed state-of-the-art in cross-lingual NLP transfer. The majority of zero-shot cross-lingual transfer, however, use one and the same massively multilingual transformer (e.g., mBERT or ...	[]	Validation
19,917	34	Title: Efficient Batch Dynamic Graphlet Counting Abstract: Graphlet counting is an important problem as it has numerous applications in several fields, including social network analysis, biological network analysis, transaction network analysis, etc. Most of the practical networks are dynamic. A graphlet is a subgraph ...	[]	Train
19,918	27	Title: COVINS-G: A Generic Back-end for Collaborative Visual-Inertial SLAM Abstract: Collaborative SLAM is at the core of perception in multi-robot systems as it enables the co-localization of the team of robots in a common reference frame, which is of vital importance for any coordination amongst them. The paradigm of...	[ 1982 ]	Test
19,919	24	Title: ProtFIM: Fill-in-Middle Protein Sequence Design via Protein Language Models Abstract: Protein language models (pLMs), pre-trained via causal language modeling on protein sequences, have been a promising tool for protein sequence design. In real-world protein engineering, there are many cases where the amino acid...	[ 29073 ]	Validation
19,920	16	Title: The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures Abstract: Segmenting cells and tracking their motion over time is a common task in biomedical applications. However, predicting accurate instance-wise segmentation and cell motions from microscopy imagery remains a...	[ 5864, 16843, 9877, 44854, 34839 ]	Train
19,921	24	Title: Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy Abstract: Label scarcity in a graph is frequently encountered in real-world applications due to the high cost of data labeling. To this end, semi-supervised domain adaptation (SSDA) on graphs aims to leverage the knowledge ...	[]	Validation
19,922	31	Title: Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems Abstract: In recommendation literature, explainability and fairness are becoming two prominent perspectives to consider. However, prior works have mostly addressed them separately, for instance by explaining to consumers ...	[]	Train
19,923	16	Title: Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Quality Abstract: High-quality data is crucial for the success of machine learning, but labeling large datasets is often a time-consuming and costly process. While semi-supervised learning can help mitigate...	[ 41918 ]	Train
19,924	24	Title: Efficient Quality-Diversity Optimization through Diverse Quality Species Abstract: A prevalent limitation of optimizing over a single objective is that it can be misguided, becoming trapped in local optimum. This can be rectified by Quality-Diversity (QD) algorithms, where a population of high-quality and divers...	[ 7632 ]	Test
19,925	24	Title: Machine Learning and Consumer Data Abstract: The digital revolution has led to the digitization of human behavior, creating unprecedented opportunities to understand observable actions on an unmatched scale. Emerging phenomena such as crowdfunding and crowdsourcing have further illuminated consumer behavior whil...	[]	Train
19,926	24	Title: Unsupervised Multiplex Graph Learning with Complementary and Consistent Information Abstract: Unsupervised multiplex graph learning (UMGL) has been shown to achieve significant effectiveness for different downstream tasks by exploring both complementary information and consistent information among multiple graph...	[]	Validation
19,927	28	Title: Diversity Preserving, Universal Hard Decision Decoder for Linear Block Codes Abstract: Hard-decision decoding does not preserve the diversity order. This results in severe performance degradation in fading channels. In contrast, soft-decision decoding preserves the diversity order at an impractical computational...	[]	Train
19,928	31	Title: Counterfactual Explanation for Fairness in Recommendation Abstract: Fairness-aware recommendation eliminates discrimination issues to build trustworthy recommendation systems.Explaining the causes of unfair recommendations is critical, as it promotes fairness diagnostics, and thus secures users' trust in recomme...	[]	Test
19,929	24	Title: Redeeming Data Science by Decision Modelling Abstract: With the explosion of applications of Data Science, the field is has come loose from its foundations. This article argues for a new program of applied research in areas familiar to researchers in Bayesian methods in AI that are needed to ground the practice ...	[]	Train
19,930	30	Title: Tractable Control for Autoregressive Language Generation Abstract: Despite the success of autoregressive large language models in text generation, it remains a major challenge to generate text that satisfies complex constraints: sampling from the conditional distribution ${\Pr}(\text{text} \| \alpha)$ is intracta...	[ 17938, 1374 ]	Validation
19,931	23	Title: Towards Understanding the Open Source Interest in Gender-Related GitHub Projects Abstract: The open-source community uses the GitHub platform to exchange and share software applications and services of interest. This paper aims to identify the open-source community’s interest in gender-related projects on GitHub...	[]	Train
19,932	24	Title: Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach Abstract: A digital twin (DT) leverages a virtual representation of the physical world, along with communication (e.g., 6G), computing (e.g., edge computing), and artificial intelligence (AI) technologies to enable many ...	[ 10726 ]	Train
19,933	24	Title: PILLAR: How to make semi-private learning more effective Abstract: In Semi-Supervised Semi-Private (SP) learning, the learner has access to both public unlabelled and private labelled data. We propose a computationally efficient algorithm that, under mild assumptions on the data, provably achieves significantly ...	[ 15921, 35082 ]	Train
19,934	2	Title: Synthesis of Distributed Protocols by Enumeration Modulo Isomorphisms Abstract: Synthesis of distributed protocols is a hard, often undecidable, problem. Completion techniques provide partial remedy by turning the problem into a search problem. However, the space of candidate completions is still massive. In thi...	[]	Train
19,935	31	Title: Representation Learning in Low-rank Slate-based Recommender Systems Abstract: Reinforcement learning (RL) in recommendation systems offers the potential to optimize recommendations for long-term user engagement. However, the environment often involves large state and action spaces, which makes it hard to efficie...	[]	Train
19,936	30	Title: Grammar Prompting for Domain-Specific Language Generation with Large Language Models Abstract: Large language models (LLMs) can learn to perform a wide range of natural language tasks from just a handful of in-context examples. However, for generating strings from highly structured languages (e.g., semantic pars...	[ 27138, 3609, 44318, 43298, 19747, 40610, 33455, 10165, 10293, 33853, 29757, 1854, 22336, 7648, 37353, 6255, 10864, 38262, 634 ]	Train
19,937	24	Title: Characterizing notions of omniprediction via multicalibration Abstract: A recent line of work shows that notions of multigroup fairness imply surprisingly strong notions of omniprediction: loss minimization guarantees that apply not just for a specific loss function, but for any loss belonging to a large family ...	[ 4075, 39407, 43761, 37106, 32181, 35161, 29754 ]	Train
19,938	24	Title: Contagion Effect Estimation Using Proximal Embeddings Abstract: Contagion effect refers to the causal effect of peers' behavior on the outcome of an individual in social networks. While prominent methods for estimating contagion effects in observational studies often assume that there are no unmeasured confounde...	[]	Train
19,939	16	Title: Toward Defensive Letter Design Abstract: A major approach for defending against adversarial attacks aims at controlling only image classifiers to be more resilient, and it does not care about visual objects, such as pandas and cars, in images. This means that visual objects themselves cannot take any defensive a...	[]	Validation
19,940	16	Title: Temporal Consistent Automatic Video Colorization via Semantic Correspondence Abstract: Video colorization task has recently attracted wide attention. Recent methods mainly work on the temporal consistency in adjacent frames or frames with small interval. However, it still faces severe challenge of the inconsiste...	[ 4926 ]	Train
19,941	16	Title: Simultaneous temperature estimation and nonuniformity correction from multiple frames Abstract: IR cameras are widely used for temperature measurements in various applications, including agriculture, medicine, and security. Low-cost IR cameras have the immense potential to replace expensive radiometric cameras i...	[]	Train
19,942	24	Title: Linear Partial Monitoring for Sequential Decision-Making: Algorithms, Regret Bounds and Applications Abstract: Partial monitoring is an expressive framework for sequential decision-making with an abundance of applications, including graph-structured and dueling bandits, dynamic pricing and transductive feedback ...	[]	Train
19,943	16	Title: Defocus to focus: Photo-realistic bokeh rendering by fusing defocus and radiance priors Abstract: nan	[ 18110 ]	Test
19,944	15	Title: Baugh-Wooley Multiplication for the RISCV Processor Abstract: This article describes an efficient way to implement the multiplication instructions for a RISCV processor. Instead of using three predefined IP blocks for signed, unsigned and mixed multiplication, this article presents a novel extension to the Baugh...	[]	Train
19,945	9	Title: $P\not=NP$ relative to a $P$-complete oracle Abstract: The $P$ versus $NP$ problem is still unsolved. But there are several oracles with $P$ unequal $NP$ relative to them. Here we will prove, that $P\not=NP$ relative to a $P$-complete oracle. In this paper, we use padding arguments as the proof method. The paddi...	[]	Train
19,946	28	Title: Breakdown of a concavity property of mutual information for non-Gaussian channels Abstract: Let $S$ and $\tilde S$ be two independent and identically distributed random variables, which we interpret as the signal, and let $P_1$ and $P_2$ be two communication channels. We can choose between two measurement scenar...	[]	Test
19,947	30	Title: Gzip versus bag-of-words for text classification with KNN Abstract: The effectiveness of compression in text classification ('gzip') has recently garnered lots of attention. In this note we show that `bag-of-words' approaches can achieve similar or better results, and are more efficient.	[]	Train
19,948	16	Title: PTQD: Accurate Post-Training Quantization for Diffusion Models Abstract: Diffusion models have recently dominated image synthesis and other related generative tasks. However, the iterative denoising process is expensive in computations at inference time, making diffusion models less practical for low-latency and...	[ 500, 42221, 40862, 18516 ]	Test
19,949	24	Title: Analyzing the Posterior Collapse in Hierarchical Variational Autoencoders Abstract: Hierarchical Variational Autoencoders (VAEs) are among the most popular likelihood-based generative models. There is rather a consensus that the top-down hierarchical VAEs allow to effectively learn deep latent structures and avo...	[]	Test
19,950	30	Title: ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP Abstract: nan	[]	Train
19,951	27	Title: Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation Abstract: Existing object-search approaches enable robots to search through free pathways, however, robots operating in unstructured human-centered environments frequently also have to manipulate the environment to their needs. In this...	[]	Train
19,952	3	Title: How do "technical" design-choices made when building algorithmic decision-making tools for criminal justice authorities create constitutional dangers? Abstract: This two part paper argues that seemingly"technical"choices made by developers of machine-learning based algorithmic tools used to inform decisions by c...	[]	Test
19,953	4	Title: Samplable Anonymous Aggregation for Private Federated Data Analysis Abstract: We revisit the problem of designing scalable protocols for private statistics and private federated learning when each device holds its private data. Our first contribution is to propose a simple primitive that allows for efficient imp...	[ 21145, 4579, 35973, 27407 ]	Train
19,954	16	Title: CoBIT: A Contrastive Bi-directional Image-Text Generation Model Abstract: The field of vision and language has witnessed a proliferation of pre-trained foundation models. Most existing methods are independently pre-trained with contrastive objective like CLIP, image-to-text generative objective like PaLI, or tex...	[ 20484, 37098, 36689, 28532, 46141 ]	Train
19,955	28	Title: Successive Cancellation Automorphism List Decoding of Polar Codes Abstract: The discovery of suitable automorphisms of polar codes gained a lot of attention by applying them in Automorphism Ensemble Decoding (AED) to improve the error-correction performance, especially for short block lengths. This paper introdu...	[ 37597 ]	Train
19,956	27	Title: Sim-to-Real Vision-depth Fusion CNNs for Robust Pose Estimation Aboard Autonomous Nano-quadcopter Abstract: Nano-quadcopters are versatile platforms attracting the interest of both academia and industry. Their tiny form factor, i.e., $\,$10 cm diameter, makes them particularly useful in narrow scenarios and harm...	[ 37613, 27094 ]	Train
19,957	24	Title: Loss-Controlling Calibration for Predictive Models Abstract: We propose a learning framework for calibrating predictive models to make loss-controlling prediction for exchangeable data, which extends our recently proposed conformal loss-controlling prediction for more general cases. By comparison, the predictors...	[ 44300 ]	Train
19,958	16	Title: UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding Abstract: Vision-language tasks, such as VQA, SNLI-VE, and VCR are challenging because they require the model's reasoning ability to understand the semantics of the visual world and natural language. Supervised methods worki...	[]	Train
19,959	7	Title: Universal and Automatic Elbow Detection for Learning the Effective Number of Components in Model Selection Problems Abstract: nan	[]	Train
19,960	16	Title: PENet: A Joint Panoptic Edge Detection Network Abstract: In recent years, compact and efficient scene understanding representations have gained popularity in increasing situational awareness and autonomy of robotic systems. In this work, we illustrate the concept of a panoptic edge segmentation and propose PENet...	[]	Train
19,961	16	Title: Neural Artistic Style Transfer with Conditional Adversaria Abstract: A neural artistic style transformation (NST) model can modify the appearance of a simple image by adding the style of a famous image. Even though the transformed images do not look precisely like artworks by the same artist of the respective st...	[]	Test
19,962	25	Title: Text-Only Domain Adaptation for End-to-End Speech Recognition through Down-Sampling Acoustic Representation Abstract: Mapping two modalities, speech and text, into a shared representation space, is a research topic of using text-only data to improve end-to-end automatic speech recognition (ASR) performance in ne...	[]	Train
19,963	2	Title: Evaluating Restricted First-Order Counting Properties on Nowhere Dense Classes and Beyond Abstract: It is known that first-order logic with some counting extensions can be efficiently evaluated on graph classes with bounded expansion, where depth-$r$ minors have constant density. More precisely, the formulas are...	[]	Train
19,964	27	Title: Robotic Navigation with Convergence Guarantees in Complex Dynamic Environments Abstract: This article addresses the obstacle avoidance problem for setpoint stabilization and path-following tasks in complex dynamic 2-D environments that go beyond conventional scenes with isolated convex obstacles. A combined moti...	[ 40134 ]	Train
19,965	16	Title: EgoPoser: Robust Real-Time Ego-Body Pose Estimation in Large Scenes Abstract: Full-body ego-pose estimation from head and hand poses alone has become an active area of research to power articulate avatar representation on headset-based platforms. However, existing methods over-rely on the confines of the motion-...	[ 188, 32574 ]	Train
19,966	16	Title: Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy Abstract: Statistical shape modeling is the computational process of discovering significant shape parameters from segmented anatomies captured by medical images (such as MRI and CT scans), which can fully describe subject-specific anatomy in t...	[ 11367 ]	Train
19,967	31	Title: PALR: Personalization Aware LLMs for Recommendation Abstract: Large language models (LLMs) have recently received significant attention for their exceptional capabilities. Despite extensive efforts in developing general-purpose LLMs that can be utilized in various natural language processing (NLP) tasks, there h...	[ 4610, 13700, 3335, 14282, 1611, 19159, 24141, 32652, 30131, 10069, 9783, 6428, 9917, 45406 ]	Test
19,968	24	Title: To ChatGPT, or not to ChatGPT: That is the question! Abstract: ChatGPT has become a global sensation. As ChatGPT and other Large Language Models (LLMs) emerge, concerns of misusing them in various ways increase, such as disseminating fake news, plagiarism, manipulating public opinion, cheating, and fraud. Hence,...	[ 44611, 35580, 28580, 17542, 5446, 3050, 44845, 31857, 7796, 26357, 42901, 40055, 28575, 42586, 38235, 28924, 21370, 43930 ]	Test
19,969	27	Title: Towards Safe Multi-Level Human-Robot Interaction in Industrial Tasks Abstract: Multiple levels of safety measures are required by multiple interaction modes which collaborative robots need to perform industrial tasks with human co-workers. We develop three independent modules to account for safety in different t...	[]	Validation
19,970	10	Title: Evaluating GPT's Programming Capability through CodeWars' Katas Abstract: In the burgeoning field of artificial intelligence (AI), understanding the capabilities and limitations of programming-oriented models is crucial. This paper presents a novel evaluation of the programming proficiency of Generative Pretrain...	[ 35107, 29956, 44452, 8200, 37424 ]	Validation
19,971	27	Title: MROS: A framework for robot self-adaptation Abstract: Self-adaptation can be used in robotics to increase system robust- ness and reliability. This work describes the Metacontrol method for self-adaptation in robotics. Particularly, it details how the MROS (Metacontrol for ROS Systems) framework implements and p...	[]	Validation
19,972	34	Title: On streaming approximation algorithms for constraint satisfaction problems Abstract: In this thesis, we explore streaming algorithms for approximating constraint satisfaction problems (CSPs). The setup is roughly the following: A computer has limited memory space, sees a long"stream"of local constraints on a set...	[]	Train
19,973	25	Title: EarCough: Enabling Continuous Subject Cough Event Detection on Hearables Abstract: Cough monitoring can enable new individual pulmonary health applications. Subject cough event detection is the foundation for continuous cough monitoring. Recently, the rapid growth in smart hearables has opened new opportunities ...	[]	Validation
19,974	16	Title: BPF Algorithms for Multiple Source-Translation Computed Tomography Reconstruction Abstract: Micro-computed tomography (micro-CT) is a widely used state-of-the-art instrument employed to study the morphological structures of objects in various fields. However, its small field-of-view (FOV) cannot meet the pressin...	[ 35718 ]	Train
19,975	16	Title: Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework Abstract: With rich visual data, such as images, becoming readily associated with items, visually-aware recommendation systems (VARS) have been widely used in different applications. Recent studies have shown...	[]	Train
19,976	16	Title: Improving the matching of deformable objects by learning to detect keypoints Abstract: nan	[]	Validation
19,977	16	Title: Surveillance Face Anti-spoofing Abstract: Face Anti-spoofing (FAS) is essential to secure face recognition systems from various physical attacks. However, recent research generally focuses on short-distance applications (i.e., phone unlocking) while lacking consideration of long-distance scenes (i.e., surveillan...	[ 19789 ]	Train

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.