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
41,978	16	Title: Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer With Adaptive Channel Expansion Abstract: Vignetting commonly occurs as a degradation in images resulting from factors such as lens design, improper lens hood usage, and limitations in camera sensors. This degradation affects i...	[]	Test
41,979	16	Title: TransPoser: Transformer as an Optimizer for Joint Object Shape and Pose Estimation Abstract: We propose a novel method for joint estimation of shape and pose of rigid objects from their sequentially observed RGB-D images. In sharp contrast to past approaches that rely on complex non-linear optimization, we propo...	[ 20024, 21033 ]	Train
41,980	24	Title: Screening of Pneumonia and Urinary Tract Infection at Triage using TriNet Abstract: Due to the steady rise in population demographics and longevity, emergency department visits are increasing across North America. As more patients visit the emergency department, traditional clinical workflows become overloaded a...	[]	Validation
41,981	4	Title: An Effective and Differentially Private Protocol for Secure Distributed Cardinality Estimation Abstract: Counting the number of distinct elements distributed over multiple data holders is a fundamental problem with many real-world applications ranging from crowd counting to network monitoring. Although a number ...	[]	Train
41,982	5	Title: Availability Analysis of Redundant and Replicated Cloud Services with Bayesian Networks Abstract: Due to the growing complexity of modern data centers, failures are not uncommon any more. Therefore, fault tolerance mechanisms play a vital role in fulfilling the availability requirements. Multiple availability mo...	[]	Train
41,983	24	Title: Continual Learning with Scaled Gradient Projection Abstract: In neural networks, continual learning results in gradient interference among sequential tasks, leading to catastrophic forgetting of old tasks while learning new ones. This issue is addressed in recent methods by storing the important gradient spaces ...	[]	Test
41,984	16	Title: 3D-aware Blending with Generative NeRFs Abstract: Image blending aims to combine multiple images seamlessly. It remains challenging for existing 2D-based methods, especially when input images are misaligned due to differences in 3D camera poses and object shapes. To tackle these issues, we propose a 3D-aware ble...	[ 39746, 8877 ]	Test
41,985	31	Title: Ranking with Long-Term Constraints Abstract: The feedback that users provide through their choices (e.g., clicks, purchases) is one of the most common types of data readily available for training search and recommendation algorithms. However, myopically training systems based on choice data may only improve shor...	[]	Validation
41,986	4	Title: Uncharted Territory: Energy Attacks in the Battery-less Internet of Things Abstract: We study how ambient energy harvesting may be used as an attack vector in the battery-less Internet of Things (IoT). Battery-less IoT devices rely on ambient energy harvesting and are employed in a multitude of applications, inc...	[ 2508 ]	Test
41,987	16	Title: Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection Abstract: Adversarial attacks in the physical world can harm the robustness of detection models. Evaluating the robustness of detection models in the physical world can be challenging due to the time-consuming and labor-intensive nature ...	[]	Train
41,988	16	Title: Masked-Attention Diffusion Guidance for Spatially Controlling Text-to-Image Generation Abstract: Text-to-image synthesis has achieved high-quality results with recent advances in diffusion models. However, text input alone has high spatial ambiguity and limited user controllability. Most existing methods allow s...	[ 16103, 34074, 16557, 20949, 15258, 28382 ]	Test
41,989	16	Title: Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps Abstract: Despite recent advancements in image generation, diffusion models still remain largely underexplored in Earth Observation. In this paper we show that state-of-the-art pretrained diffusion models can be conditioned on cartographi...	[ 9858, 34074 ]	Validation
41,990	10	Title: A Semantic Approach to Decidability in Epistemic Planning Abstract: The use of Dynamic Epistemic Logic (DEL) in multi-agent planning has led to a widely adopted action formalism that can handle nondeterminism, partial observability and arbitrary knowledge nesting. As such expressive power comes at the cost of un...	[]	Validation
41,991	30	Title: GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation Abstract: We present GLM-Dialog, a large-scale language model (LLM) with 10B parameters capable of knowledge-grounded conversation in Chinese using a search engine to access the Internet knowledge. GLM-Dialog offers a series of ap...	[ 40192 ]	Train
41,992	4	Title: Detecting Security Patches via Behavioral Data in Code Repositories Abstract: The absolute majority of software today is developed collaboratively using collaborative version control tools such as Git. It is a common practice that once a vulnerability is detected and fixed, the developers behind the software iss...	[]	Train
41,993	36	Title: A double-elimination format for a 48-team FIFA World Cup Abstract: I present a double-elimination format for the 48-team FIFA World Cup ™ that solves many of the concerns raised about the considered formats with mixed round-robin with groups of 3 or 4 teams and single-elimination strategies. Using a quantitative...	[]	Test
41,994	31	Title: Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training Abstract: Dense retrievers have achieved impressive performance, but their demand for abundant training data limits their application scenarios. Contrastive pre-training, which constructs pseudo-positive examples from unlabeled data, has ...	[]	Validation
41,995	24	Title: A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection Abstract: Methicillin-resistant Staphylococcus aureus (MRSA) is a type of bacteria resistant to certain antibiotics, making it difficult to prevent MRSA infections. Among decades of efforts to co...	[]	Validation
41,996	24	Title: Critical Learning Periods Emerge Even in Deep Linear Networks Abstract: Critical learning periods are periods early in development where temporary sensory deficits can have a permanent effect on behavior and learned representations. Despite the radical differences between biological and artificial networks, crit...	[]	Train
41,997	24	Title: Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions Abstract: We present neural frailty machine (NFM), a powerful and flexible neural modeling framework for survival regressions. The NFM framework utilizes the classical idea of multiplicative frailty in survival analysis ...	[]	Validation
41,998	24	Title: Generalizing Backpropagation for Gradient-Based Interpretability Abstract: Many popular feature-attribution methods for interpreting deep neural networks rely on computing the gradients of a model’s output with respect to its inputs.While these methods can indicate which input features may be important for the m...	[]	Train
41,999	24	Title: Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning Abstract: Recent years have seen a surge of interest in learning high-level causal representations from low-level image pairs under interventions. Yet, existing efforts are largely limited to simple synthetic settings that ...	[ 16400, 948 ]	Validation
42,000	16	Title: Distribution-Aware Prompt Tuning for Vision-Language Models Abstract: Pre-trained vision-language models (VLMs) have shown impressive performance on various downstream tasks by utilizing knowledge learned from large data. In general, the performance of VLMs on target tasks can be further improved by prompt tunin...	[ 10624, 27282 ]	Test
42,001	30	Title: Language Embeddings Sometimes Contain Typological Generalizations Abstract: To what extent can neural network models learn generalizations about language structure, and how do we find out what they have learned? We explore these questions by training neural models for a range of natural language processing tas...	[ 31520, 26747, 31435, 29142 ]	Validation
42,002	24	Title: Backward Compatibility During Data Updates by Weight Interpolation Abstract: Backward compatibility of model predictions is a desired property when updating a machine learning driven application. It allows to seamlessly improve the underlying model without introducing regression bugs. In classiﬁcation tasks thes...	[]	Train
42,003	20	Title: Minimum L∞ Hausdorff Distance of Point Sets Under Translation: Generalizing Klee's Measure Problem Abstract: We present a (combinatorial) algorithm with running time close to $O(n^d)$ for computing the minimum directed $L_\infty$ Hausdorff distance between two sets of $n$ points under translations in any constan...	[]	Validation
42,004	16	Title: Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation Abstract: Visual Domain Prompts (VDP) have shown promising potential in addressing visual cross-domain problems. Existing methods adopt VDP in classification domain adaptation (DA), such as tuning image-level or feature-level prompts for targe...	[ 20078, 5713, 43608, 5497, 25720 ]	Train
42,005	31	Title: RecAD: Towards A Unified Library for Recommender Attack and Defense Abstract: In recent years, recommender systems have become a ubiquitous part of our daily lives, while they suffer from a high risk of being attacked due to the growing commercial and social values. Despite significant research progress in recom...	[ 5744, 16179, 25748 ]	Train
42,006	26	Title: Improving Fairness in Information Exposure by Adding Links Abstract: Fairness in influence maximization has been a very active research topic recently. Most works in this context study the question of how to find seeding strategies (deterministic or probabilistic) such that nodes or communities in the network ge...	[]	Validation
42,007	24	Title: Half-Hop: A graph upsampling approach for slowing down message passing Abstract: Message passing neural networks have shown a lot of success on graph-structured data. However, there are many instances where message passing can lead to over-smoothing or fail when neighboring nodes belong to different classes. In ...	[]	Test
42,008	16	Title: A Gated Attention Transformer for Multi-Person Pose Tracking Abstract: Multi-person pose tracking is an important element for many applications and requires to estimate the human poses of all persons in a video and to track them over time. The association of poses across frames remains an open research problem, ...	[ 41073 ]	Test
42,009	10	Title: Actively learning a Bayesian matrix fusion model with deep side information Abstract: High-dimensional deep neural network representations of images and concepts can be aligned to predict human annotations of diverse stimuli. However, such alignment requires the costly collection of behavioral responses, such th...	[]	Train
42,010	6	Title: Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering Abstract: Humankind is entering a novel era of creativity - an era in which anybody can synthesize digital content. The paradigm under which this revolution takes place is prompt-based learning (or in-context learning). This paradig...	[ 24527, 15023, 46066, 4564, 27612 ]	Train
42,011	27	Title: Thermal Vision for Soil Assessment in a Multipurpose Environmental Chamber under Martian Conditions towards Robot Navigation Abstract: Soil assessment is important for mobile robot planning and navigation on natural and planetary environments. Terramechanic characteristics can be inferred from the thermal behavi...	[]	Train
42,012	30	Title: Scaling TransNormer to 175 Billion Parameters Abstract: We present TransNormerLLM, the first linear attention-based Large Language Model (LLM) that outperforms conventional softmax attention-based models in terms of both accuracy and efficiency. TransNormerLLM evolves from the previous linear attention architect...	[ 1313, 13700, 648, 109, 45695, 42064, 12753, 36056, 2426, 29375 ]	Train
42,013	24	Title: Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Abstract: Graph anomaly detection (GAD) is a vital task since even a few anomalies can pose huge threats to benign users. Recent semi-supervised GAD methods, which can effectively leverage the available labels as prior knowledge, ...	[ 501 ]	Train
42,014	24	Title: Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Abstract: Conditional generative models became a very powerful tool to sample from Bayesian inverse problem posteriors. It is well-known in classical Bayesian literature that posterior measures are quite robust ...	[ 26441 ]	Validation
42,015	31	Title: GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation Abstract: Sequential Recommendation is a widely studied paradigm for learning users' dynamic interests from historical interactions for predicting the next potential item. Although lots of research work has a...	[ 14879 ]	Validation
42,016	30	Title: Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction Abstract: A proven therapeutic technique to overcome negative thoughts is to replace them with a more hopeful “reframed thought.” Although therapy can help people practice and learn this Cognitive Reframing of Negative Thoughts, cl...	[]	Train
42,017	16	Title: LC-NeRF: Local Controllable Face Generation in Neural Randiance Field Abstract: 3D face generation has achieved high visual quality and 3D consistency thanks to the development of neural radiance fields (NeRF). However, these methods model the whole face as a neural radiance field, which limits the controllabili...	[]	Train
42,018	27	Title: MARBLER: An Open Platform for Standarized Evaluation of Multi-Robot Reinforcement Learning Algorithms Abstract: Multi-agent reinforcement learning (MARL) has enjoyed significant recent progress, thanks to deep learning. This is naturally starting to benefit multi-robot systems (MRS) in the form of multi-robot RL...	[ 35481, 45484 ]	Train
42,019	3	Title: A Juridicidade e a Regulamenta\c{c}\~ao dos Dark Patterns Abstract: The evolution of audiovisual computer interfaces was an important milestone for the popularization of the internet without which it is impossible to conceive the use of this technology in modern society However the progress of these interfaces h...	[]	Train
42,020	16	Title: User-friendly Image Editing with Minimal Text Input: Leveraging Captioning and Injection Techniques Abstract: Recent text-driven image editing in diffusion models has shown remarkable success. However, the existing methods assume that the user's description sufficiently grounds the contexts in the source image, ...	[ 29087, 16103 ]	Train
42,021	16	Title: Character Queries: A Transformer-Based Approach to On-line Handwritten Character Segmentation Abstract: nan	[]	Test
42,022	16	Title: MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset Abstract: Pretraining with large-scale 3D volumes has a potential for improving the segmentation performance on a target medical image dataset where the training images and annotations are limited. Due t...	[ 22713, 29646 ]	Test
42,023	16	Title: On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and Landing Abstract: An event-based camera outputs an event whenever a change in scene brightness of a preset magnitude is detected at a particular pixel location in the sensor plane. The resulting sparse and asynchronous output coupled ...	[ 24570 ]	Test
42,024	23	Title: AI Chain on Large Language Model for Unsupervised Control Flow Graph Generation for Statically-Typed Partial Code Abstract: Control Flow Graphs (CFGs) are essential for visualizing, understanding and analyzing program behavior. For statically-typed programming language like Java, developers obtain CFGs by using ...	[ 15301, 44202, 2219, 24046, 27161 ]	Validation
42,025	27	Title: Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe Self-Driving in Non-Stationary Environments Abstract: In the area of learning-driven artificial intelligence advancement, the integration of machine learning (ML) into self-driving (SD) technology stands as an impressive engineering feat. Yet, in ...	[]	Train
42,026	24	Title: Decision Support System for Chronic Diseases Based on Drug-Drug Interactions Abstract: Many patients with chronic diseases resort to multiple medications to relieve various symptoms, which raises concerns about the safety of multiple medication use, as severe drug-drug antagonism can lead to serious adverse effe...	[ 37381 ]	Train
42,027	10	Title: Adaptive User-centered Neuro-symbolic Learning for Multimodal Interaction with Autonomous Systems Abstract: Recent advances in machine learning, particularly deep learning, have enabled autonomous systems to perceive and comprehend objects and their environments in a perceptual subsymbolic manner. These systems ...	[]	Train
42,028	16	Title: SINC: Self-Supervised In-Context Learning for Vision-Language Tasks Abstract: Large Pre-trained Transformers exhibit an intriguing capacity for in-context learning. Without gradient updates, these models can rapidly construct new predictors from demonstrations presented in the inputs. Recent works promote this a...	[ 10624, 6220 ]	Train
42,029	24	Title: A Large-Scale Study of Probabilistic Calibration in Neural Network Regression Abstract: Accurate probabilistic predictions are essential for optimal decision making. While neural network miscalibration has been studied primarily in classification, we investigate this in the less-explored domain of regression. We...	[ 5417 ]	Train
42,030	7	Title: Dynamic Analysis of Corporate ESG Reports: A Model of Evolutionary Trends Abstract: Environmental, social, and governance (ESG) reports are globally recognized as a keystone in sustainable enterprise development. This study aims to map the changing landscape of ESG topics within firms in the global market. A dyn...	[]	Validation
42,031	16	Title: Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior Abstract: Reflective flare is a phenomenon that occurs when light reflects inside lenses, causing bright spots or a “ghosting effect” in photos, which can impact their quality. Eliminating reflective flare is highly desirable but c...	[ 9473, 486 ]	Train
42,032	25	Title: A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI Abstract: Generative AI has demonstrated impressive performance in various fields, among which speech synthesis is an interesting direction. With the diffusion model as the most popular generative model, numerous works ...	[ 27232, 28932, 24549, 26825, 1899, 25368, 8308, 10804, 16728, 3066, 14047 ]	Test
42,033	24	Title: Maximum Margin Learning of t-SPNs for Cell Classification With Filtered Input Abstract: An algorithm based on a deep probabilistic architecture referred to as tree-structured sum-product network (t-SPN) is considered for cells classification. The t-SPN is a rooted acyclic graph constructed as a tree of several s...	[]	Validation
42,034	23	Title: Understanding the Issues, Their Causes and Solutions in Microservices Systems: An Empirical Study Abstract: Many small to large organizations have adopted the Microservices Architecture (MSA) style to develop and deliver their core businesses. Despite the popularity of MSA in the software industry, there is a li...	[]	Train
42,035	16	Title: PromptFusion: Decoupling Stability and Plasticity for Continual Learning Abstract: Continual learning refers to the capability of continuously learning from a stream of data. Current research mainly focuses on relieving catastrophic forgetting, and most of their success is at the cost of limiting the performance...	[ 13831, 2439 ]	Train
42,036	30	Title: Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning Abstract: In this paper, we present a novel approach for data-to-text generation that addresses the limitations of current methods that primarily focus on specific types of structured data. Our proposed method aims to improve p...	[]	Validation
42,037	24	Title: RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification Abstract: Graph classification is a crucial task in many real-world multimedia applications, where graphs can represent various multimedia data types such as images, videos, and social networks. Previous efforts have applied graph ne...	[ 14489, 41693, 1078, 42511 ]	Validation
42,038	16	Title: Data and knowledge co-driving for cancer subtype classification on multi-scale histopathological slides Abstract: nan	[]	Validation
42,039	6	Title: Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds Abstract: Learning from crowds describes that the annotations of training data are obtained with crowd-sourcing services. Multiple annotators each complete their own small part of the annotations, where labeling mistakes th...	[ 4472 ]	Train
42,040	30	Title: K-hop neighbourhood regularization for few-shot learning on graphs: A case study of text classification Abstract: We present FewShotTextGCN, a novel method designed to effectively utilize the properties of word-document graphs for improved learning in low-resource settings. We introduce K-hop Neighbourhood Regul...	[]	Train
42,041	28	Title: Weight hierarchies of three-weight $p$-ary linear codes from inhomogeneous quadratic forms Abstract: The weight distribution and weight hierarchy of a linear code are two important research topics in coding theory. In this paper, choosing $ D=\Big\{(x,y)\in \Big(\F_{p^{s_1}}\times\F_{p^{s_2}}\Big)\Big\backslash\...	[ 26095 ]	Train
42,042	16	Title: CrossFusion: Interleaving Cross-modal Complementation for Noise-resistant 3D Object Detection Abstract: The combination of LiDAR and camera modalities is proven to be necessary and typical for 3D object detection according to recent studies. Existing fusion strategies tend to overly rely on the LiDAR modal in es...	[ 40403 ]	Train
42,043	28	Title: Performance Analysis of Active RIS-Aided Systems in the Face of Imperfect CSI and Phase Shift Noise Abstract: The linear minimal mean square error estimator for active reconfigurable intelligent surface (RIS)-aided wireless systems is formulated. Furthermore, based on the moment-matching method, we employ the Ga...	[ 32111 ]	Train
42,044	16	Title: Deep Intra-Image Contrastive Learning for Weakly Supervised One-Step Person Search Abstract: Weakly supervised person search aims to perform joint pedestrian detection and re-identification (re-id) with only person bounding-box annotations. Recently, the idea of contrastive learning is initially applied to weakl...	[]	Validation
42,045	11	Title: Multi-agent Continual Coordination via Progressive Task Contextualization Abstract: Cooperative Multi-agent Reinforcement Learning (MARL) has attracted significant attention and played the potential for many real-world applications. Previous arts mainly focus on facilitating the coordination ability from differe...	[]	Validation
42,046	31	Title: Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors Abstract: Deep recommendation systems (DRS) heavily depend on specialized HPC hardware and accelerators to optimize energy, efficiency, and recommendation quality. Despite the growing number of hardware errors observed in ...	[]	Validation
42,047	10	Title: A Review on Objective-Driven Artificial Intelligence Abstract: While advancing rapidly, Artificial Intelligence still falls short of human intelligence in several key aspects due to inherent limitations in current AI technologies and our understanding of cognition. Humans have an innate ability to understand con...	[]	Train
42,048	24	Title: CAT-Walk: Inductive Hypergraph Learning via Set Walks Abstract: Temporal hypergraphs provide a powerful paradigm for modeling time-dependent, higher-order interactions in complex systems. Representation learning for hypergraphs is essential for extracting patterns of the higher-order interactions that are critic...	[ 7729, 25633, 21277, 367 ]	Train
42,049	5	Title: A Fair and Resilient Decentralized Clock Network for Transaction Ordering Abstract: Traditional blockchain design gives miners or validators full control over transaction ordering, i.e.,~they can freely choose which transactions to include or exclude, as well as in which order. While not an issue initially, the ...	[ 11127 ]	Train
42,050	16	Title: LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition Abstract: Long-tailed multi-label visual recognition (LTML) task is a highly challenging task due to the label co-occurrence and imbalanced data distribution. In this work, we propose a unified framework for LTM...	[]	Train
42,051	34	Title: Optimal Square Detection Over General Alphabets Abstract: Squares (fragments of the form $xx$, for some string $x$) are arguably the most natural type of repetition in strings. The basic algorithmic question concerning squares is to check if a given string of length $n$ is square-free, that is, does not contain ...	[]	Train
42,052	16	Title: Towards Viewpoint-Invariant Visual Recognition via Adversarial Training Abstract: Visual recognition models are not invariant to viewpoint changes in the 3D world, as different viewing directions can dramatically affect the predictions given the same object. Although many efforts have been devoted to making neur...	[ 17601 ]	Validation
42,053	16	Title: Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction Abstract: To make safe transitions from autonomous to manual control, a vehicle must have a representation of the awareness of driver state; two metrics which quantify this state are the Observable ...	[ 13780 ]	Test
42,054	31	Title: Shilling Black-box Review-based Recommender Systems through Fake Review Generation Abstract: Review-Based Recommender Systems (RBRS) have attracted increasing research interest due to their ability to alleviate well-known cold-start problems. RBRS utilizes reviews to construct the user and items representations....	[]	Validation
42,055	16	Title: BATINet: Background-Aware Text to Image Synthesis and Manipulation Network Abstract: Background-Induced Text2Image (BIT2I) aims to generate foreground content according to the text on the given background image. Most studies focus on generating high-quality foreground content, although they ignore the relationsh...	[]	Train
42,056	26	Title: Morality in the mundane: Categorizing moral reasoning in real-life social situations Abstract: Moral reasoning reflects how people acquire and apply moral rules in particular situations. With increasingly social interactions happening online, social media data provides an unprecedented opportunity to assess in-t...	[ 1712 ]	Validation
42,057	4	Title: TrojPrompt: A Black-box Trojan Attack on Pre-trained Language Models Abstract: Prompt learning has been proven to be highly effective in improving pre-trained language model (PLM) adaptability, surpassing conventional fine-tuning paradigms, and showing exceptional promise in an ever-growing landscape of applicat...	[]	Train
42,058	24	Title: Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State Abstract: Mean Field Control (MFC) is a powerful approximation tool to solve large-scale Multi-Agent Reinforcement Learning (MARL) problems. However, the success of MFC relies on the...	[ 11698 ]	Validation
42,059	34	Title: Adjacency Sketches in Adversarial Environments Abstract: An adjacency sketching or implicit labeling scheme for a family $\cal F$ of graphs is a method that defines for any $n$ vertex $G \in \cal F$ an assignment of labels to each vertex in $G$, so that the labels of two vertices tell you whether or not they are...	[]	Train
42,060	30	Title: Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension Abstract: OBJECTIVE To develop a natural language processing system that solves both clinical concept extraction and relation extraction in a unified prompt-based machine reading comprehension (MRC) architecture with good g...	[ 31265, 31578 ]	Validation
42,061	23	Title: Awareness requirement and performance management for adaptive systems: a survey Abstract: nan	[]	Test
42,062	10	Title: Neural Spline Search for Quantile Probabilistic Modeling Abstract: Accurate estimation of output quantiles is crucial in many use cases, where it is desired to model the range of possibility. Modeling target distribution at arbitrary quantile levels and at arbitrary input attribute levels are important to offer ...	[]	Test
42,063	13	Title: MAC, a novel stochastic optimization method Abstract: A novel stochastic optimization method called MAC was suggested. The method is based on the calculation of the objective function at several random points and then an empirical expected value and an empirical covariance matrix are calculated. The empirical ex...	[]	Test
42,064	24	Title: Simple Hardware-Efficient Long Convolutions for Sequence Modeling Abstract: State space models (SSMs) have high performance on long sequence modeling but require sophisticated initialization techniques and specialized implementations for high quality and runtime performance. We study whether a simple alternative...	[ 11009, 6021, 19704, 6457, 19995, 42012 ]	Validation
42,065	1	Title: Modality-Agnostic Audio-Visual Deepfake Detection Abstract: As AI-generated content (AIGC) thrives, Deepfakes have expanded from single-modality falsification to cross-modal fake content creation, where either audio or visual components can be manipulated. While using two unimodal detectors can detect audio-visu...	[]	Test
42,066	27	Title: Asking for Help: Failure Prediction in Behavioral Cloning through Value Approximation Abstract: Recent progress in end-to-end Imitation Learning approaches has shown promising results and generalization capabilities on mobile manipulation tasks. Such models are seeing increasing deployment in real-world settings...	[]	Train
42,067	6	Title: Sampling and Ranking for Digital Ink Generation on a tight computational budget Abstract: Digital ink (online handwriting) generation has a number of potential applications for creating user-visible content, such as handwriting autocompletion, spelling correction, and beautification. Writing is personal and usua...	[]	Train
42,068	16	Title: Analysis of Deep Image Quality Models Abstract: Subjective image quality measures based on deep neural networks are very related to models of visual neuroscience. This connection benefits engineering but, more interestingly, the freedom to optimize deep networks in different ways, make them an excellent tool to ...	[]	Validation
42,069	4	Title: Off-By-One Implementation Error in J-UNIWARD Abstract: J-UNIWARD is a popular steganography method for hiding secret messages in JPEG cover images. As a content-adaptive method, J-UNIWARD aims to embed into textured image regions where changes are difficult to detect. To this end, J-UNIWARD first assigns to each...	[]	Train
42,070	10	Title: Scaling Integer Arithmetic in Probabilistic Programs Abstract: Distributions on integers are ubiquitous in probabilistic modeling but remain challenging for many of today's probabilistic programming languages (PPLs). The core challenge comes from discrete structure: many of today's PPL inference strategies rely ...	[ 5132 ]	Test
42,071	30	Title: On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study Abstract: Modern deep models for summarization attains impressive benchmark performance, but they are prone to generating miscalibrated predictive uncertainty. This means that they assign high confidence ...	[ 35418, 4340, 17447 ]	Train
42,072	17	Title: Feature-assisted interactive geometry reconstruction in 3D point clouds using incremental region growing Abstract: nan	[]	Train
42,073	30	Title: Emphasizing Unseen Words: New Vocabulary Acquisition for End-to-End Speech Recognition Abstract: nan	[]	Train
42,074	30	Title: Improving Autoregressive NLP Tasks via Modular Linearized Attention Abstract: Various natural language processing (NLP) tasks necessitate models that are efficient and small based on their ultimate application at the edge or in other resource-constrained environments. While prior research has reduced the size of...	[]	Train
42,075	27	Title: Spatio-Temporal Avoidance of Predicted Occupancy in Human-Robot Collaboration Abstract: This paper addresses human-robot collaboration (HRC) challenges of integrating predictions of human activity to provide a proactive-n-reactive response capability for the robot. Prior works that consider current or predicted ...	[]	Train
42,076	26	Title: Shaping Online Dialogue: Examining How Community Rules Affect Discussion Structures on Reddit Abstract: Community rules play a key part in enabling or constraining the behaviors of members in online communities. However, little is unknown regarding whether and to what degree changing rules actually affects commu...	[]	Validation
42,077	25	Title: Low latency transformers for speech processing Abstract: The transformer is a widely-used building block in modern neural networks. However, when applied to audio data, the transformer's acausal behaviour, which we term Acausal Attention (AA), has generally limited its application to offline tasks. In this paper...	[]	Validation

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