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
16,278	30	Title: From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework Abstract: Textual adversarial attacks can discover models' weaknesses by adding semantic-preserved but misleading perturbations to the inputs. The long-lasting adversarial attack-and-defense arm...	[ 21024, 4431 ]	Train
16,279	24	Title: O-1: Self-training with Oracle and 1-best Hypothesis Abstract: We introduce O-1, a new self-training objective to reduce training bias and unify training and evaluation metrics for speech recognition. O-1 is a faster variant of Expected Minimum Bayes Risk (EMBR), that boosts the oracle hypothesis and can accommo...	[ 14378 ]	Train
16,280	24	Title: Understanding and Mitigating Extrapolation Failures in Physics-Informed Neural Networks Abstract: Physics-informed Neural Networks (PINNs) have recently gained popularity in the scientific community due to their effective approximation of partial differential equations (PDEs) using deep neural networks. However,...	[ 34930, 34847, 14367 ]	Validation
16,281	3	Title: Adopting AI: how familiarity breeds both trust and contempt Abstract: nan	[]	Train
16,282	16	Title: LadleNet: Translating Thermal Infrared Images to Visible Light Images Using A Scalable Two-stage U-Net Abstract: The translation of thermal infrared (TIR) images to visible light (VI) images presents a challenging task with potential applications spanning various domains such as TIR-VI image registration and fus...	[]	Train
16,283	24	Title: Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network Abstract: Temperature field prediction is of great importance in the thermal design of systems engineering, and building the surrogate model is an effective way for the task. Generally, large amounts of label...	[]	Train
16,284	3	Title: Stable Bias: Analyzing Societal Representations in Diffusion Models Abstract: As machine learning-enabled Text-to-Image (TTI) systems are becoming increasingly prevalent and seeing growing adoption as commercial services, characterizing the social biases they exhibit is a necessary first step to lowering their r...	[ 31109, 18314, 30603, 26004, 34068, 28322, 7973, 27301, 560, 45104, 25400, 15037, 30034, 18003, 15575, 35930, 5725, 9181, 17264, 38385, 8308, 14581, 28279, 31352 ]	Train
16,285	36	Title: Learning Strategic Value and Cooperation in Multi-Player Stochastic Games through Side Payments Abstract: For general-sum, n-player, strategic games with transferable utility, the Harsanyi-Shapley value provides a computable method to both 1) quantify the strategic value of a player; and 2) make cooperation rati...	[]	Test
16,286	16	Title: DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection Abstract: A critical yet frequently overlooked challenge in the field of deepfake detection is the lack of a standardized, unified, comprehensive benchmark. This issue leads to unfair performance comparisons and potentially misleading results. Specif...	[ 2808 ]	Train
16,287	16	Title: Don't worry about mistakes! Glass Segmentation Network via Mistake Correction Abstract: Recall one time when we were in an unfamiliar mall. We might mistakenly think that there exists or does not exist a piece of glass in front of us. Such mistakes will remind us to walk more safely and freely at the same or a s...	[]	Test
16,288	24	Title: Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data Abstract: This paper considers deep out-of-distribution active learning. In practice, fully trained neural networks interact randomly with out-of-distribution (OOD) inputs and map aberrant samples randomly within the mo...	[ 4530, 36548, 2366 ]	Test
16,289	16	Title: Intriguing Properties of Diffusion Models: A Large-Scale Dataset for Evaluating Natural Attack Capability in Text-to-Image Generative Models Abstract: Denoising probabilistic diffusion models have shown breakthrough performance that can generate more photo-realistic images or human-level illustrations than the p...	[ 17283, 38598, 45104, 39892, 34074 ]	Train
16,290	24	Title: Verifying Global Neural Network Specifications using Hyperproperties Abstract: Current approaches to neural network verification focus on specifications that target small regions around known input data points, such as local robustness. Thus, using these approaches, we can not obtain guarantees for inputs that a...	[]	Train
16,291	16	Title: DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion Models Abstract: Generating high-quality labeled image datasets is crucial for training accurate and robust machine learning models in the field of computer vision. However, the process of manually labeling real images is o...	[ 42221 ]	Train
16,292	16	Title: Data-Driven Bilateral Generalized Two-Dimensional Quaternion Principal Component Analysis with Application to Color Face Recognition Abstract: A new data-driven bilateral generalized two-dimensional quaternion principal component analysis (BiG2DQPCA) is presented to extract the features of matrix samples from bo...	[]	Validation
16,293	10	Title: Adaptive Ensemble Learning: Boosting Model Performance through Intelligent Feature Fusion in Deep Neural Networks Abstract: In this paper, we present an Adaptive Ensemble Learning framework that aims to boost the performance of deep neural networks by intelligently fusing features through ensemble learning techn...	[]	Train
16,294	34	Title: Polynomial-delay Enumeration Kernelizations for Cuts of Bounded Degree Abstract: Enumeration kernelization was first proposed by Creignou et al. [TOCS 2017] and was later refined by Golovach et al. [JCSS 2022] into two different variants: fully-polynomial enumeration kernelization and polynomial-delay enumeratio...	[]	Validation
16,295	24	Title: Angle based dynamic learning rate for gradient descent Abstract: In our work, we propose a novel yet simple approach to obtain an adaptive learning rate for gradient-based descent methods on classification tasks. Instead of the traditional approach of selecting adaptive learning rates via the decayed expectation...	[ 37444 ]	Train
16,296	8	Title: Real-time, low latency virtual DBA hypervisor for SLA-compliant multi-service operations over shared Passive Optical Networks Abstract: We present a heuristic algorithm for a PON upstream scheduling hypervisor, supporting low latency services with strict service-level agreement. The algorithm achieves near-optim...	[]	Train
16,297	16	Title: Dynamic Visual Prompt Tuning for Parameter Efficient Transfer Learning Abstract: Parameter efficient transfer learning (PETL) is an emerging research spot that aims to adapt large-scale pre-trained models to downstream tasks. Recent advances have achieved great success in saving storage and computation costs. Ho...	[]	Test
16,298	24	Title: Diffusion Model-Augmented Behavioral Cloning Abstract: Imitation learning addresses the challenge of learning by observing an expert's demonstrations without access to reward signals from environments. Most existing imitation learning methods that do not require interacting with environments either model the exp...	[ 8994, 1603, 34215, 9994, 37008, 43965 ]	Test
16,299	6	Title: Advances in Automatically Rating the Trustworthiness of Text Processing Services Abstract: AI services are known to have unstable behavior when subjected to changes in data, models or users. Such behaviors, whether triggered by omission or commission, lead to trust issues when AI works with humans. The current a...	[ 10643, 31332 ]	Train
16,300	25	Title: Supervised Hierarchical Clustering using Graph Neural Networks for Speaker Diarization Abstract: Conventional methods for speaker diarization involve windowing an audio file into short segments to extract speaker embeddings, followed by an unsupervised clustering of the embeddings. This multi-step approach gener...	[]	Test
16,301	10	Title: BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs Abstract: Knowledge graphs (KGs) are an important tool for representing complex relationships between entities in the biomedical domain. Several methods have been proposed for learning embeddings that can be used to predict new li...	[]	Test
16,302	30	Title: Is a prompt and a few samples all you need? Using GPT-4 for data augmentation in low-resource classification tasks Abstract: Obtaining and annotating data can be expensive and time-consuming, especially in complex, low-resource domains. We use GPT-4 and ChatGPT to augment small labeled datasets with synthetic da...	[ 39392, 13700, 7884, 3280, 24308, 9780, 23924, 33175, 24217, 39642 ]	Train
16,303	23	Title: Reasoning-Based Software Testing Abstract: With software systems becoming increasingly pervasive and autonomous, our ability to test for their quality is severely challenged. Many systems are called to operate in uncertain and highly-changing environment, not rarely required to make intelligent decisions by them...	[]	Train
16,304	16	Title: Universal Detection of Backdoor Attacks via Density-based Clustering and Centroids Analysis Abstract: —In this paper, we propose a Universal Defence based on Clustering and Centroids Analysis (CCA-UD) against backdoor attacks. The goal of the proposed defence is to reveal whether a Deep Neural Network model is s...	[]	Train
16,305	16	Title: Improved mirror ball projection for more accurate merging of multiple camera outputs and process monitoring Abstract: Using spherical mirrors in place of wide-angle cameras allows for cost-effective monitoring of manufacturing processes in hazardous environment, where a camera would normally not operate. This in...	[]	Test
16,306	27	Title: Navigation of micro-robot swarms for targeted delivery using reinforcement learning Abstract: Micro robotics is quickly emerging to be a promising technological solution to many medical treatments with focus on targeted drug delivery. They are effective when working in swarms whose individual control is mostly i...	[]	Train
16,307	34	Title: Fast and Practical Quantum-Inspired Classical Algorithms for Solving Linear Systems Abstract: We propose fast and practical quantum-inspired classical algorithms for solving linear systems. Specifically, given sampling and query access to a matrix $A\in\mathbb{R}^{m\times n}$ and a vector $b\in\mathbb{R}^m$, we ...	[]	Test
16,308	30	Title: Exploring Better Text Image Translation with Multimodal Codebook Abstract: Text image translation (TIT) aims to translate the source texts embedded in the image to target translations, which has a wide range of applications and thus has important research value. However, current studies on TIT are confronted wit...	[ 35954, 5972 ]	Test
16,309	4	Title: Fairness and Privacy in Federated Learning and Their Implications in Healthcare Abstract: Currently, many contexts exist where distributed learning is difficult or otherwise constrained by security and communication limitations. One common domain where this is a consideration is in Healthcare where data is often...	[]	Test
16,310	15	Title: Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design Abstract: Graph neural networks (GNNs) have shown significant accuracy improvements in a variety of graph learning domains, sparking considerable research interest. To translate these accuracy improvements into prac...	[]	Validation
16,311	16	Title: TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance Abstract: We propose a geometric deep-learning-based framework, TractGeoNet, for performing regression using diffusion magnetic resonance imaging (dMRI) tractography and asso...	[]	Train
16,312	27	Title: MorphoLander: Reinforcement Learning Based Landing of a Group of Drones on the Adaptive Morphogenetic UAV Abstract: This paper focuses on a novel robotic system MorphoLander representing heterogeneous swarm of drones for exploring rough terrain environments. The morphogenetic leader drone is capable of landing o...	[ 31051 ]	Train
16,313	34	Title: Experimental Design for Any p-Norm Abstract: We consider a general $p$-norm objective for experimental design problems that captures some well-studied objectives (D/A/E-design) as special cases. We prove that a randomized local search approach provides a unified algorithm to solve this problem for all $p$. This ...	[]	Train
16,314	24	Title: Policy Contrastive Imitation Learning Abstract: Adversarial imitation learning (AIL) is a popular method that has recently achieved much success. However, the performance of AIL is still unsatisfactory on the more challenging tasks. We find that one of the major reasons is due to the low quality of AIL discrimin...	[]	Train
16,315	24	Title: Causal Interpretable Progression Trajectory Analysis of Chronic Disease Abstract: Chronic disease is the leading cause of death, emphasizing the need for accurate prediction of disease progression trajectories and informed clinical decision-making. Machine learning (ML) models have shown promise in this domain b...	[ 43984, 4609 ]	Train
16,316	28	Title: An application-oriented scheduler Abstract: We consider a multi-agent system where agents compete for the access to the radio resource. By combining some application-level parameters, such as the resilience, with a knowledge of the radio environment, we propose a new way of modeling the scheduling problem as an ...	[ 22209, 30831 ]	Validation
16,317	24	Title: Adaptive Thresholding Heuristic for KPI Anomaly Detection Abstract: A plethora of outlier detectors have been explored in the time series domain, however, in a business sense, not all outliers are anomalies of interest. Existing anomaly detection solutions are confined to certain outlier detectors limiting their...	[ 3571 ]	Train
16,318	16	Title: LPN: Language-guided Prototypical Network for few-shot classification Abstract: Few-shot classification aims to adapt to new tasks with limited labeled examples. To fully use the accessible data, recent methods explore suitable measures for the similarity between the query and support images and better high-dime...	[]	Train
16,319	24	Title: Can Feature Engineering Help Quantum Machine Learning for Malware Detection? Abstract: With the increasing number and sophistication of malware attacks, malware detection systems based on machine learning (ML) grow in importance. At the same time, many popular ML models used in malware classification are supervi...	[ 35765 ]	Train
16,320	38	Title: Evaluating BERT-based scientific relation classifiers for scholarly knowledge graph construction on digital library collections Abstract: nan	[]	Validation
16,321	24	Title: Refined Value-Based Offline RL under Realizability and Partial Coverage Abstract: In offline reinforcement learning (RL) we have no opportunity to explore so we must make assumptions that the data is sufficient to guide picking a good policy, taking the form of assuming some coverage, realizability, Bellman comp...	[ 31508, 35767 ]	Test
16,322	24	Title: Anomalous NO2 emitting ship detection with TROPOMI satellite data and machine learning Abstract: Starting from 2021, more demanding $\text{NO}_\text{x}$ emission restrictions were introduced for ships operating in the North and Baltic Sea waters. Since all methods currently used for ship compliance monitoring ar...	[]	Test
16,323	16	Title: Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers? Abstract: Brain age prediction using neuroimaging data has shown great potential as an indicator of overall brain health and successful aging, as well as a disease biomarker. Deep learning models have been establ...	[]	Train
16,324	28	Title: Characterizing First Arrival Position Channels: Noise Distribution and Capacity Analysis Abstract: This paper addresses two fundamental problems in diffusive molecular communication: characterizing the first arrival position (FAP) density and bounding the information transmission capacity of FAP channels. Previo...	[ 1924 ]	Train
16,325	27	Title: Design and Development of Wall Climbing Robot Abstract: : Climbing Robots are being developed for applications ranging from cleaning to the inspection of difficult to reach constructions. Climbing robots should be capable of carrying a light payload and climbing on vertical surfaces with ability to cope with obs...	[]	Train
16,326	30	Title: Secret-Keeping in Question Answering Abstract: Existing question-answering research focuses on unanswerable questions in the context of always providing an answer when a system can\dots but what about cases where a system {\bf should not} answer a question. This can either be to protect sensitive users or sensit...	[ 44071 ]	Train
16,327	16	Title: Compositionally Equivariant Representation Learning Abstract: Deep learning models often need sufficient supervision (i.e. labelled data) in order to be trained effectively. By contrast, humans can swiftly learn to identify important anatomy in medical images like MRI and CT scans, with minimal guidance. This re...	[]	Train
16,328	39	Title: A Strongly Polynomial-Time Algorithm for Weighted General Factors with Three Feasible Degrees Abstract: General factors are a generalization of matchings. Given a graph $G$ with a set $\pi(v)$ of feasible degrees, called a degree constraint, for each vertex $v$ of $G$, the general factor problem is to find a (sp...	[]	Validation
16,329	30	Title: Self-Improving-Leaderboard(SIL): A Call for Real-World Centric Natural Language Processing Leaderboards Abstract: Leaderboard systems allow researchers to objectively evaluate Natural Language Processing (NLP) models and are typically used to identify models that exhibit superior performance on a given task in a...	[]	Validation
16,330	25	Title: DDSP-based Neural Waveform Synthesis of Polyphonic Guitar Performance from String-wise MIDI Input Abstract: We explore the use of neural synthesis for acoustic guitar from string-wise MIDI input. We propose four different systems and compare them with both objective metrics and subjective evaluation against natu...	[ 14629 ]	Train
16,331	16	Title: Rotation-Constrained Cross-View Feature Fusion for Multi-View Appearance-based Gaze Estimation Abstract: Appearance-based gaze estimation has been actively studied in recent years. However, its generalization performance for unseen head poses is still a significant limitation for existing methods. This work prop...	[]	Train
16,332	10	Title: Graph Extraction for Assisting Crash Simulation Data Analysis Abstract: In this work, we establish a method for abstracting information from Computer Aided Engineering (CAE) into graphs. Such graph representations of CAE data can improve design guidelines and support recommendation systems by enabling the compar...	[]	Test
16,333	5	Title: DaphneSched: A Scheduler for Integrated Data Analysis Pipelines Abstract: DAPHNE is a new open-source software infrastructure designed to address the increasing demands of integrated data analysis (IDA) pipelines, comprising data management (DM), high performance computing (HPC), and machine learning (ML) system...	[]	Train
16,334	30	Title: SOTASTREAM: A Streaming Approach to Machine Translation Training Abstract: Many machine translation toolkits make use of a data preparation step wherein raw data is transformed into a tensor format that can be used directly by the trainer. This preparation step is increasingly at odds with modern research and de...	[]	Validation
16,335	2	Title: Counting Computations with Formulae: Logical Characterisations of Counting Complexity Classes Abstract: We present quantitative logics with two-step semantics based on the framework of quantitative logics introduced by Arenas et al. (2020) and the two-step semantics defined in the context of weighted logics by G...	[ 25061 ]	Train
16,336	25	Title: CiwaGAN: Articulatory information exchange Abstract: Humans encode information into sounds by controlling articulators and decode information from sounds using the auditory apparatus. This paper introduces CiwaGAN, a model of human spoken language acquisition that combines unsupervised articulatory modeling with...	[]	Validation
16,337	24	Title: Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms Abstract: A/B testing, or controlled experiments, is the gold standard approach to causally compare the performance of algorithms on online platforms. However, conventional Bernoulli randomization in A/B testing faces many challenge...	[]	Train
16,338	24	Title: Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective Abstract: In this paper, we investigate the problem of learning with noisy labels in real-world annotation scenarios, where noise can be categorized into two types: factual noise and ambiguity noise. To better dist...	[ 2253 ]	Train
16,339	16	Title: Larger is not Better: A Survey on the Robustness of Computer Vision Models against Common Corruptions Abstract: The performance of computer vision models are susceptible to unexpected changes in input images, known as common corruptions (e.g. noise, blur, illumination changes, etc.), that can hinder their reliab...	[ 23713, 35139, 34131, 20281, 537, 35899, 37887 ]	Train
16,340	31	Title: Neural group recommendation based on a probabilistic semantic aggregation Abstract: nan	[ 37028 ]	Train
16,341	16	Title: Three ways to improve feature alignment for open vocabulary detection Abstract: The core problem in zero-shot open vocabulary detection is how to align visual and text features, so that the detector performs well on unseen classes. Previous approaches train the feature pyramid and detection head from scratch, wh...	[ 32050, 24887 ]	Test
16,342	34	Title: Planted Bipartite Graph Detection Abstract: We consider the task of detecting a hidden bipartite subgraph in a given random graph. Specifically, under the null hypothesis, the graph is a realization of an Erd\H{o}s-R\'{e}nyi random graph over $n$ vertices with edge density $q$. Under the alternative, there exist...	[]	Train
16,343	16	Title: Penalty Gradient Normalization for Generative Adversarial Networks Abstract: In this paper, we propose a novel normalization method called penalty gradient normalization (PGN) to tackle the training instability of Generative Adversarial Networks (GANs) caused by the sharp gradient space. Unlike existing work suc...	[]	Test
16,344	30	Title: In BLOOM: Creativity and Affinity in Artificial Lyrics and Art Abstract: We apply a large multilingual language model (BLOOM-176B) in open-ended generation of Chinese song lyrics, and evaluate the resulting lyrics for coherence and creativity using human reviewers. We find that current computational metrics for ...	[]	Validation
16,345	16	Title: Reference-Guided Large-Scale Face Inpainting with Identity and Texture Control Abstract: Face inpainting aims at plausibly predicting missing pixels of face images within a corrupted region. Most existing methods rely on generative models learning a face image distribution from a big dataset, which produces unco...	[ 32119, 6847 ]	Train
16,346	32	Title: Consistent Point Data Assimilation in Firedrake and Icepack Abstract: When estimating quantities and fields that are difficult to measure directly, such as the fluidity of ice, from point data sources, such as satellite altimetry, it is important to solve a numerical inverse problem that is formulated with Bayes...	[]	Train
16,347	27	Title: Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration Abstract: Safe Reinforcement Learning (RL) aims to find a policy that achieves high rewards while satisfying cost constraints. When learning from scratch, safe RL agents tend to be overly conservative, which impedes explor...	[ 10297, 44566 ]	Train
16,348	24	Title: History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion Abstract: Temporal knowledge graph (TKG) completion models typically rely on having access to the entire graph during training. However, in real-world scenarios, TKG data is often received incrementally as e...	[]	Train
16,349	31	Title: OpenP5: Benchmarking Foundation Models for Recommendation Abstract: This paper presents OpenP5, an open-source library for benchmarking foundation models for recommendation under the Pre-train, Personalized Prompt and Predict Paradigm (P5). We consider the implementation of P5 on three dimensions: 1) downstream ...	[ 13700, 10069 ]	Train
16,350	4	Title: MITRE ATT&CK: State of the Art and Way Forward Abstract: MITRE ATT&CK is a comprehensive framework of adversary tactics, techniques and procedures based on real-world observations. It has been used as a foundation for threat modelling in different sectors, such as government, academia and industry. To the best o...	[]	Train
16,351	16	Title: Text Semantics to Image Generation: A method of building facades design base on Stable Diffusion model Abstract: Stable Diffusion model has been extensively employed in the study of archi-tectural image generation, but there is still an opportunity to enhance in terms of the controllability of the generated imag...	[ 34074 ]	Test
16,352	3	Title: Whose Text Is It Anyway? Exploring BigCode, Intellectual Property, and Ethics Abstract: Intelligent or generative writing tools rely on large language models that recognize, summarize, translate, and predict content. This position paper probes the copyright interests of open data sets used to train large languag...	[]	Train
16,353	16	Title: Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semi-Supervised Skeleton-based Action Recognition Abstract: Contrastive learning has been successfully leveraged to learn action representations for addressing the problem of semisupervised skeleton-based action recognition. However, most contrastive l...	[ 37075, 38702 ]	Train
16,354	31	Title: Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN Abstract: Density-based clustering is a commonly used tool in data science. Today many data science works are utilizing high-dimensional neural embeddings. However, traditional density-based clustering techniques like DBSCAN have a ...	[]	Train
16,355	27	Title: Feeding the Coffee Habit: A Longitudinal Study of a Robo-Barista Abstract: Studying Human-Robot Interaction over time can provide insights into what really happens when a robot becomes part of people's everyday lives."In the Wild"studies inform the design of social robots, such as for the service industry, to en...	[ 37108 ]	Train
16,356	24	Title: Enhancing Representation Learning on High-Dimensional, Small-Size Tabular Data: A Divide and Conquer Method with Ensembled VAEs Abstract: Variational Autoencoders and their many variants have displayed impressive ability to perform dimensionality reduction, often achieving state-of-the-art performance. Many curr...	[]	Train
16,357	16	Title: DeepSeaNet: Improving Underwater Object Detection using EfficientDet Abstract: Marine animals and deep underwater objects are difficult to recognize and monitor for safety of aquatic life. There is an increasing challenge when the water is saline with granular particles and impurities. In such natural adversaria...	[]	Train
16,358	39	Title: An efficient implementation and a strengthening of Alon-Tarsi list coloring method Abstract: As one of the first applications of the polynomial method in combinatorics, Alon and Tarsi gave a way to prove that a graph is choosable (colorable from any lists of prescribed size). We describe an efficient way to impl...	[]	Train
16,359	16	Title: Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach Abstract: In this paper, we explore incremental few-shot object detection (iFSD), which incrementally learns novel classes using only a few examples without revisiting base classes. Previous iFSD works achieved the desired results by applying ...	[]	Test
16,360	15	Title: Sequence-Based Incremental Concolic Testing of RTL Models Abstract: Concolic testing is a scalable solution for automated generation of directed tests for validation of hardware designs. Unfortunately, concolic testing also fails to cover complex corner cases such as hard-to-activate branches. In this paper, we ...	[]	Validation
16,361	30	Title: Structural Transfer Learning in NL-to-Bash Semantic Parsers Abstract: Large-scale pre-training has made progress in many fields of natural language processing, though little is understood about the design of pre-training datasets. We propose a methodology for obtaining a quantitative understanding of structural ...	[]	Train
16,362	16	Title: Controllable Light Diffusion for Portraits Abstract: We introduce light diffusion, a novel method to improve lighting in portraits, softening harsh shadows and specular highlights while preserving overall scene illumi-nation. Inspired by professional photographers' diffusers and scrims, our method softens lighti...	[]	Test
16,363	16	Title: Using t-distributed stochastic neighbor embedding for visualization and segmentation of 3D point clouds of plants Abstract: In this work, the use of t-SNE is proposed to embed 3D point clouds of plants into 2D space for plant characterization. It is demonstrated that t-SNE operates as a practical tool to flatten...	[]	Test
16,364	27	Title: Learning Human-to-Robot Handovers from Point Clouds Abstract: We propose the first framework to learn control policies for vision-based human-to-robot handovers, a critical task for human-robot interaction. While research in Embodied AI has made significant progress in training robot agents in simulated environm...	[]	Validation
16,365	30	Title: Linguistically-Informed Neural Architectures for Lexical, Syntactic and Semantic Tasks in Sanskrit Abstract: The primary focus of this thesis is to make Sanskrit manuscripts more accessible to the end-users through natural language technologies. The morphological richness, compounding, free word orderliness, and...	[]	Train
16,366	6	Title: Challenges in Designing Racially Inclusive Language Technologies Abstract: We take a critical lens toward the pursuit of racially inclusive language technologies and identify several areas necessitating future work. We discuss the potential harms of conversational technologies, outline three challenges that aris...	[ 30899 ]	Train
16,367	4	Title: Security Assessment of Common Open Source MQTT Brokers and Clients Abstract: Security and dependability of devices are paramount for the IoT ecosystem. Message Queuing Telemetry Transport protocol (MQTT) is the de facto standard and the most common alternative for those limited devices that cannot leverage HTTP....	[]	Train
16,368	16	Title: Learning Fractals by Gradient Descent Abstract: Fractals are geometric shapes that can display complex and self-similar patterns found in nature (e.g., clouds and plants). Recent works in visual recognition have leveraged this property to create random fractal images for model pre-training. In this paper, we stu...	[]	Validation
16,369	16	Title: Identity-Preserving Talking Face Generation with Landmark and Appearance Priors Abstract: Generating talking face videos from audio attracts lots of research interest. A few person-specific methods can generate vivid videos but require the target speaker's videos for training or fine-tuning. Existing person-gene...	[ 32238 ]	Train
16,370	11	Title: Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence Abstract: The convergence of generative large language models (LLMs), edge networks, and multi-agent systems represents a groundbreaking synergy that holds immense promise for future wireless generations, harnessing the po...	[ 13700, 13510, 12487, 16556, 35951, 29396 ]	Validation
16,371	28	Title: A Lower and Upper Bound on the Epsilon-Uniform Common Randomness Capacity Abstract: We consider a standard two-source model for uniform common randomness (UCR) generation, in which Alice and Bob observe independent and identically distributed (i. i. d.) samples of a correlated finite source and where Alice is al...	[]	Test
16,372	24	Title: Data Minimization at Inference Time Abstract: In domains with high stakes such as law, recruitment, and healthcare, learning models frequently rely on sensitive user data for inference, necessitating the complete set of features. This not only poses significant privacy risks for individuals but also demands subs...	[ 45593 ]	Test
16,373	24	Title: Concurrent Shuffle Differential Privacy Under Continual Observation Abstract: We introduce the concurrent shuffle model of differential privacy. In this model we have multiple concurrent shufflers permuting messages from different, possibly overlapping, batches of users. Similarly to the standard (single) shuffl...	[ 29132, 42092 ]	Validation
16,374	16	Title: Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data Abstract: Nowadays, robotics, AR, and 3D modeling applications attract considerable attention to single-view depth estimation (SVDE) as it allows estimating scene geometry from a single RGB image...	[]	Train
16,375	30	Title: XAI in Computational Linguistics: Understanding Political Leanings in the Slovenian Parliament Abstract: As the impact of technology on our lives is increasing, we witness increased use of social media that became an essential tool not only for communication but also for sharing information with community about ...	[ 28213 ]	Train
16,376	25	Title: FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec Abstract: This paper presents FunCodec, a fundamental neural speech codec toolkit, which is an extension of the open-source speech processing toolkit FunASR. FunCodec provides reproducible training recipes and infere...	[ 29762, 8015, 21778, 40119, 27324 ]	Validation
16,377	34	Title: Private Distribution Testing with Heterogeneous Constraints: Your Epsilon Might Not Be Mine Abstract: Private closeness testing asks to decide whether the underlying probability distributions of two sensitive datasets are identical or differ significantly in statistical distance, while guaranteeing (differential...	[]	Train

Subsets and Splits

No community queries yet

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