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
38,278	10	Title: Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified 𝓁p Attacks Abstract: Adversarial robustness is a key concept in measuring the ability of neural networks to defend against adversarial attacks during the inference phase. Recent studies have shown that...	[]	Train
38,279	37	Title: Query Rewriting with Disjunctive Existential Rules and Mappings Abstract: We consider the issue of answering unions of conjunctive queries (UCQs) with disjunctive existential rules and mappings. While this issue has already been well studied from a chase perspective, query rewriting within UCQs has hardly been a...	[]	Train
38,280	23	Title: Exploring Emerging Technologies for Requirements Elicitation Interview Training: Empirical Assessment of Robotic and Virtual Tutors Abstract: Requirements elicitation interviews are a widely adopted technique, where the interview success heavily depends on the interviewer's preparedness and communication skills....	[ 12602, 6006 ]	Train
38,281	30	Title: Citation: A Key to Building Responsible and Accountable Large Language Models Abstract: Large Language Models (LLMs) bring transformative benefits alongside unique challenges, including intellectual property (IP) and ethical concerns. This position paper explores a novel angle to mitigate these risks, drawing pa...	[ 41122, 10211, 5957, 5703, 10350, 22286, 29396, 27669, 18806, 889, 41210, 42747 ]	Validation
38,282	4	Title: SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection Abstract: nan	[ 29858, 17702 ]	Train
38,283	27	Title: End-to-end Manipulator Calligraphy Planning via Variational Imitation Learning Abstract: Planning from demonstrations has shown promising results with the advances of deep neural networks. One of the most popular real-world applications is automated handwriting using a robotic manipulator. Classically it is simp...	[]	Test
38,284	28	Title: Improved Signal Detection for Ambient Backscatter Communications Abstract: In ambient backscatter communication (AmBC) systems, passive tags connect to a reader by reflecting an ambient radio frequency (RF) signal. However, the reader may not know the channel states and RF source parameters and can experience in...	[]	Test
38,285	4	Title: Nik Defense: An Artificial Intelligence Based Defense Mechanism against Selfish Mining in Bitcoin Abstract: The Bitcoin cryptocurrency has received much attention recently. In the network of Bitcoin, transactions are recorded in a ledger. In this network, the process of recording transactions depends on some nod...	[ 1868, 23852 ]	Test
38,286	30	Title: Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding Abstract: Current natural language understanding (NLU) models have been continuously scaling up, both in terms of model size and input context, introducing more hidden and input neurons. While this generally improves performanc...	[]	Train
38,287	24	Title: Explainable Graph Spectral Clustering of Text Documents Abstract: Spectral clustering methods are known for their ability to represent clusters of diverse shapes, densities etc. However, results of such algorithms, when applied e.g. to text documents, are hard to explain to the user, especially due to embedding ...	[ 30274, 25723 ]	Validation
38,288	30	Title: Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts Abstract: End-to-end automatic speech translation (AST) relies on data that combines audio inputs with text translation outputs. Previous work used existing large parallel corpora of transcriptions and tr...	[]	Test
38,289	36	Title: The Wisdom of Strategic Voting Abstract: We study the voting game where agents' preferences are endogenously decided by the information they receive, and they can collaborate in a group. We show that strategic voting behaviors have a positive impact on leading to the "correct" decision, outperforming the common ...	[]	Test
38,290	27	Title: Time-Optimal Path Tracking for Cooperative Manipulators: A Convex Optimization Approach Abstract: This paper studies the time-optimal path tracking problem for a team of cooperating robotic manipulators carrying an object. Considering the problem for rigidly grasped objects, we show that it can be cast as a conv...	[]	Train
38,291	16	Title: Take a Prior from Other Tasks for Severe Blur Removal Abstract: Recovering clear structures from severely blurry inputs is a challenging problem due to the large movements between the camera and the scene. Although some works apply segmentation maps on human face images for deblurring, they cannot handle natural...	[]	Test
38,292	24	Title: Implicit Stochastic Gradient Descent for Training Physics-informed Neural Networks Abstract: Physics-informed neural networks (PINNs) have effectively been demonstrated in solving forward and inverse differential equation problems, but they are still trapped in training failures when the target functions to be a...	[]	Train
38,293	24	Title: Two to Five Truths in Non-Negative Matrix Factorization Abstract: In this paper, we explore the role of matrix scaling on a matrix of counts when building a topic model using non-negative matrix factorization. We present a scaling inspired by the normalized Laplacian (NL) for graphs that can greatly improve the ...	[]	Validation
38,294	30	Title: Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization Abstract: A series of datasets and models have been proposed for summaries generated for well-formatted documents such as news articles. Dialogue summaries, however, have been under explored. In this paper, we present the first datas...	[]	Validation
38,295	16	Title: MCROOD: Multi-Class Radar Out-Of-Distribution Detection Abstract: Out-of-distribution (OOD) detection has recently received special attention due to its critical role in safely deploying modern deep learning (DL) architectures. This work proposes a reconstruction-based multi-class OOD detector that operates on r...	[]	Train
38,296	34	Title: A Fast Monte Carlo algorithm for evaluating matrix functions with application in complex networks Abstract: We propose a novel stochastic algorithm that randomly samples entire rows and columns of the matrix as a way to approximate an arbitrary matrix function. This contrasts with the"classical"Monte Carlo metho...	[]	Validation
38,297	24	Title: Meta Neural Coordination Abstract: Meta-learning aims to develop algorithms that can learn from other learning algorithms to adapt to new and changing environments. This requires a model of how other learning algorithms operate and perform in different contexts, which is similar to representing and reasoning abo...	[]	Validation
38,298	25	Title: Enhancing the vocal range of single-speaker singing voice synthesis with melody-unsupervised pre-training Abstract: The single-speaker singing voice synthesis (SVS) usually underperforms at pitch values that are out of the singer's vocal range or associated with limited training samples. Based on our previous wo...	[ 45509 ]	Train
38,299	26	Title: Twits, Toxic Tweets, and Tribal Tendencies: Trends in Politically Polarized Posts on Twitter Abstract: Social media platforms are often blamed for exacerbating political polarization and worsening public dialogue. Many claim hyperpartisan users post pernicious content, slanted to their political views, inciting ...	[ 24289 ]	Test
38,300	24	Title: Better Practices for Domain Adaptation Abstract: Distribution shifts are all too common in real-world applications of machine learning. Domain adaptation (DA) aims to address this by providing various frameworks for adapting models to the deployment data without using labels. However, the domain shift scenario r...	[]	Train
38,301	16	Title: Learning to Generate Training Datasets for Robust Semantic Segmentation Abstract: Semantic segmentation techniques have shown significant progress in recent years, but their robustness to real-world perturbations and data samples not seen during training remains a challenge, particularly in safety-critical appli...	[]	Train
38,302	30	Title: Neighboring Words Affect Human Interpretation of Saliency Explanations Abstract: Word-level saliency explanations ("heat maps over words") are often used to communicate feature-attribution in text-based models. Recent studies found that superficial factors such as word length can distort human interpretation of ...	[]	Train
38,303	16	Title: Unlimited Knowledge Distillation for Action Recognition in the Dark Abstract: Dark videos often lose essential information, which causes the knowledge learned by networks is not enough to accurately recognize actions. Existing knowledge assembling methods require massive GPU memory to distill the knowledge from ...	[]	Train
38,304	20	Title: Shortest Paths in Portalgons Abstract: Any surface that is intrinsically polyhedral can be represented by a collection of simple polygons (fragments), glued along pairs of equally long oriented edges, where each fragment is endowed with the geodesic metric arising from its Euclidean metric. We refer to such a re...	[]	Train
38,305	6	Title: Gaze-based Attention Recognition for Human-Robot Collaboration Abstract: Attention (and distraction) recognition is a key factor in improving human-robot collaboration. We present an assembly scenario where a human operator and a cobot collaborate equally to piece together a gearbox. The setup provides multiple ...	[]	Validation
38,306	16	Title: GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation Abstract: Text-to-image (T2I) models based on diffusion processes have achieved remarkable success in controllable image generation using user-provided captions. However, the tight coupling between the current text encoder and image decoder in...	[ 15896, 34074, 15983, 14047 ]	Train
38,307	22	Title: Logical Relations for Session-Typed Concurrency Abstract: Program equivalence is the fulcrum for reasoning about and proving properties of programs. For noninterference, for example, program equivalence up to the secrecy level of an observer is shown. A powerful enabler for such proofs are logical relations. Log...	[]	Train
38,308	25	Title: D2Former: A Fully Complex Dual-Path Dual-Decoder Conformer Network using Joint Complex Masking and Complex Spectral Mapping for Monaural Speech Enhancement Abstract: Monaural speech enhancement has been widely studied using real networks in the time-frequency (TF) domain. However, the input and the target are na...	[]	Train
38,309	16	Title: Semantic Equivariant Mixup Abstract: Mixup is a well-established data augmentation technique, which can extend the training distribution and regularize the neural networks by creating ''mixed'' samples based on the label-equivariance assumption, i.e., a proportional mixup of the input data results in the corresp...	[ 17596, 33725, 35052 ]	Validation
38,310	16	Title: An Asynchronous Intensity Representation for Framed and Event Video Sources Abstract: Neuromorphic "event" cameras, designed to mimic the human vision system with asynchronous sensing, unlock a new realm of high-speed and high-dynamic-range applications. However, researchers often either revert to a framed repre...	[]	Train
38,311	24	Title: Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size Abstract: Advances in Semi-Supervised Learning (SSL) have almost entirely closed the gap between SSL and Supervised Learning at a fraction of the number of labels. However, recent performance improvements have often come \textit{at the cos...	[]	Train
38,312	30	Title: Generation of Highlights From Research Papers Using Pointer-Generator Networks and SciBERT Embeddings Abstract: Nowadays many research articles are prefaced with research highlights to summarize the main findings of the paper. Highlights not only help researchers precisely and quickly identify the contributions ...	[ 22292 ]	Test
38,313	2	Title: Type-Theoretic Signatures for Algebraic Theories and Inductive Types Abstract: We develop the usage of certain type theories as specification languages for algebraic theories and inductive types. We observe that the expressive power of dependent type theories proves useful in the specification of more complicate...	[]	Test
38,314	16	Title: Contrastive Mean Teacher for Domain Adaptive Object Detectors Abstract: Object detectors often suffer from the domain gap between training (source domain) and real-world applications (target domain). Mean-teacher self-training is a powerful paradigm in unsupervised domain adaptation for object detection, but it ...	[]	Train
38,315	30	Title: ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models Abstract: Augmented Language Models (ALMs) blend the reasoning capabilities of Large Language Models (LLMs) with tools that allow for knowledge retrieval and action execution. Existing ALM systems trigger LLM thought processes ...	[ 7936, 27138, 13700, 6797, 3609, 13345, 19747, 295, 35117, 4270, 6958, 29757, 1854, 33477, 6353, 2549, 1401, 634, 13564 ]	Validation
38,316	24	Title: OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments Abstract: Cognitive science and psychology suggest that object-centric representations of complex scenes are a promising step towards enabling efficient abstract reasoning from low-level perceptual features. Yet, most deep reinforcement learn...	[ 20833 ]	Train
38,317	16	Title: Human labeling errors and their impact on ConvNets for satellite image scene classification Abstract: Convolutional neural networks (ConvNets) have been successfully applied to satellite image scene classification. Human-labeled training datasets are essential for ConvNets to perform accurate classification. Err...	[]	Test
38,318	16	Title: Food Image Classification and Segmentation with Attention-based Multiple Instance Learning Abstract: The demand for accurate food quantification has increased in the recent years, driven by the needs of applications in dietary monitoring. At the same time, computer vision approaches have exhibited great potentia...	[]	Test
38,319	2	Title: Relation-Algebraic Verification of Disjoint-Set Forests Abstract: This paper studies how to use relation algebras, which are useful for high-level specification and verification, for proving the correctness of lower-level array-based implementations of algorithms. We give a simple relation-algebraic semantics of...	[]	Validation
38,320	5	Title: FTIO: Detecting I/O Periodicity Using Frequency Techniques Abstract: Characterizing the temporal I/O behavior of an HPC application is a challenging task, but informing the system about it can be valuable for techniques such as I/O scheduling, burst buffer management, and many more, especially if provided online...	[]	Validation
38,321	27	Title: Grabbing power line conductors based on the measurements of the magnetic field strength Abstract: This paper presents the method for the localization and grabbing of the long straight conductor based only on the magnetic field generated by the alternating current flowing through the conductor. The method uses tw...	[]	Train
38,322	24	Title: DREAM: Domain-free Reverse Engineering Attributes of Black-box Model Abstract: Deep learning models are usually black boxes when deployed on machine learning platforms. Prior works have shown that the attributes ($e.g.$, the number of convolutional layers) of a target black-box neural network can be exposed thro...	[]	Validation
38,323	24	Title: Analyzing the Performance of Deep Encoder-Decoder Networks as Surrogates for a Diffusion Equation Abstract: Neural networks (NNs) have proven to be a viable alternative to traditional direct numerical algorithms, with the potential to accelerate computational time by several orders of magnitude. In the present p...	[]	Train
38,324	24	Title: Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks Abstract: Generative Adversarial Networks (GANs) are a popular formulation to train generative models for complex high dimensional data. The standard method for training GANs involves a gradient descent-ascent (GDA) procedu...	[]	Train
38,325	24	Title: Unwrapping All ReLU Networks Abstract: Deep ReLU Networks can be decomposed into a collection of linear models, each defined in a region of a partition of the input space. This paper provides three results extending this theory. First, we extend this linear decompositions to Graph Neural networks and tensor conv...	[ 42298, 44076 ]	Train
38,326	10	Title: Layered controller synthesis for dynamic multi-agent systems Abstract: In this paper we present a layered approach for multi-agent control problem, decomposed into three stages, each building upon the results of the previous one. First, a high-level plan for a coarse abstraction of the system is computed, relyin...	[]	Train
38,327	16	Title: SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction Abstract: 3D image reconstruction from a limited number of 2D images has been a long-standing challenge in computer vision and image analysis. While deep learning-based approaches have achieved impressive performance in this area, existing deep netw...	[ 25181 ]	Train
38,328	16	Title: GaitRef: Gait Recognition with Refined Sequential Skeletons Abstract: Identifying humans with their walking sequences, known as gait recognition, is a useful biometric understanding task as it can be observed from a long distance and does not require cooperation from the subject. Two common modalities used for r...	[]	Train
38,329	24	Title: Pump It Up: Predict Water Pump Status using Attentive Tabular Learning Abstract: Water crisis is a crucial concern around the globe. Appropriate and timely maintenance of water pumps in drought-hit countries is vital for communities relying on the well. In this paper, we analyze and apply a sequential attentive ...	[]	Test
38,330	16	Title: Bird's-Eye-View Scene Graph for Vision-Language Navigation Abstract: Vision-language navigation (VLN), which entails an agent to navigate 3D environments following human instructions, has shown great advances. However, current agents are built upon panoramic observations, which hinders their ability to perceive ...	[ 19757, 24854, 35005, 19320, 35421 ]	Validation
38,331	24	Title: On the Sublinear Regret of GP-UCB Abstract: In the kernelized bandit problem, a learner aims to sequentially compute the optimum of a function lying in a reproducing kernel Hilbert space given only noisy evaluations at sequentially chosen points. In particular, the learner aims to minimize regret, which is a mea...	[]	Validation
38,332	26	Title: Using Overlapping Methods to Counter Adversaries in Community Detection Abstract: When dealing with large graphs, community detection is a useful data triage tool that can identify subsets of the network that a data analyst should investigate. In an adversarial scenario, the graph may be manipulated to avoid scr...	[ 42141 ]	Train
38,333	4	Title: Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks Abstract: Adversarial training (AT) is a robust learning algorithm that can defend against adversarial attacks in the inference phase and mitigate the side effects of corrupted data in the training phase. As such, it has become...	[]	Train
38,334	24	Title: Offline Experience Replay for Continual Offline Reinforcement Learning Abstract: The capability of continuously learning new skills via a sequence of pre-collected offline datasets is desired for an agent. However, consecutively learning a sequence of offline tasks likely leads to the catastrophic forgetting iss...	[]	Train
38,335	2	Title: Logic and theory of representation Abstract: Underlying the theory of inferences, a primary task of logic is language analysis. Such a task can be understood as depending on a general theory of representation, taking as a starting point the idea that some entities (`` representations '') can present some entites...	[]	Train
38,336	16	Title: Raw Image Reconstruction with Learned Compact Metadata Abstract: While raw images exhibit advantages over sRGB images (e.g., linearity and fine-grained quantization level), they are not widely used by common users due to the large storage requirements. Very recent works propose to compress raw images by designin...	[ 38040, 40834, 8773 ]	Train
38,337	27	Title: Joint Machine-Transporter Scheduling for Multistage Jobs with Adjustable Computation Time Abstract: This paper presents a scalable solution with adjustable computation time for the joint problem of scheduling and assigning machines and transporters for missions that must be completed in a fixed order of operatio...	[]	Test
38,338	10	Title: Are Emergent Abilities of Large Language Models a Mirage? Abstract: Recent work claims that large language models display emergent abilities, abilities not present in smaller-scale models that are present in larger-scale models. What makes emergent abilities intriguing is two-fold: their sharpness, transitioning...	[ 35713, 14219, 16014, 8084, 34426, 11544, 32410, 45471, 29861, 4902, 42406, 27186, 31923, 21300, 32309, 44343, 43452, 19010, 6979, 16837, 35534, 37456, 31190, 18777, 7131, 24158, 41570, 27880, 36972, 22899, 28154, 23806 ]	Train
38,339	23	Title: An Empirical Study of Bugs in Open-Source Federated Learning Framework Abstract: Federated learning (FL), as a decentralized machine learning solution to the protection of users' private data, has become an important learning paradigm in recent years, especially since the enforcement of stricter laws and regulat...	[]	Train
38,340	4	Title: Data-Driven Intelligence can Revolutionize Today's Cybersecurity World: A Position Paper Abstract: As cyber threats evolve and grow progressively more sophisticated, cyber security is becoming a more significant concern in today's digital era. Traditional security measures tend to be insufficient to defend again...	[]	Test
38,341	30	Title: Faithfulness Tests for Natural Language Explanations Abstract: Explanations of neural models aim to reveal a model’s decision-making process for its predictions. However, recent work shows that current methods giving explanations such as saliency maps or counterfactuals can be misleading, as they are prone to pr...	[ 40882 ]	Validation
38,342	16	Title: Discrepancy-Based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images Abstract: nan	[ 31336, 5027, 34052 ]	Validation
38,343	24	Title: A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness Abstract: The aim of dataset distillation is to encode the rich features of an original dataset into a tiny dataset. It is a promising approach to accelerate neural network training and related studies. Different approac...	[]	Train
38,344	16	Title: Scalable, Detailed and Mask-Free Universal Photometric Stereo Abstract: In this paper, we introduce SDM-UniPS, a groundbreaking Scalable, Detailed, Mask-free, and Universal Photometric Stereo network. Our approach can recover astonishingly intricate surface normal maps, rivaling the quality of 3D scanners, even ...	[ 27341 ]	Train
38,345	16	Title: UniUD Submission to the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2023 Abstract: In this report, we present the technical details of our submission to the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2023. To participate in the challenge, we ensembled two models trained with two different loss...	[]	Validation
38,346	8	Title: Plated-Through-Hole Via Design Specifications for 112G Serial Links Abstract: An earlier study of a high layer-count test board using plated-through-hole (PTH) vias and a limited quantity of laser vias was shown to be capable of supporting 112 Gb/s PAM-4 links (or equivalent signaling having 28 GHz (Nyquist) ban...	[ 23674 ]	Validation
38,347	16	Title: Gall Bladder Cancer Detection from US Images with Only Image Level Labels Abstract: Automated detection of Gallbladder Cancer (GBC) from Ultrasound (US) images is an important problem, which has drawn increased interest from researchers. However, most of these works use difficult-to-acquire information such as b...	[]	Train
38,348	30	Title: xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval Abstract: AI systems that can create codes as solutions to problems or assist developers in writing codes can increase productivity and make programming more accessible. Recently, pre-trained l...	[ 29215 ]	Train
38,349	21	Title: CoCoMo: Computational Consciousness Modeling for Generative and Ethical AI Abstract: The CoCoMo model proposes a computational solution to the challenge of incorporating ethical and emotional intelligence considerations into AI systems, with the aim of creating AI agents that combine knowledge with compassion. T...	[ 44827, 13510 ]	Train
38,350	30	Title: Ensemble Transfer Learning for Multilingual Coreference Resolution Abstract: Entity coreference resolution is an important research problem with many applications, including information extraction and question answering. Coreference resolution for English has been studied extensively. However, there is relativel...	[]	Train
38,351	36	Title: Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games Abstract: Learning in games considers how multiple agents maximize their own rewards through repeated games. Memory, an ability that an agent changes his/her action depending on the history of actions in previous games...	[ 12731 ]	Train
38,352	27	Title: Lifelike Agility and Play on Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models Abstract: Summarizing knowledge from animals and human beings inspires robotic innovations. In this work, we propose a framework for driving legged robots act like real animals with lifelike agility and...	[ 4316 ]	Validation
38,353	10	Title: ProAgent: Building Proactive Cooperative AI with Large Language Models Abstract: Building AIs with adaptive behaviors in human-AI cooperation stands as a pivotal focus in AGI research. Current methods for developing cooperative agents predominantly rely on learning-based methods, where policy generalization heav...	[ 7936, 33477, 13510, 7913, 16237, 19472, 3793, 41104, 3899, 35292, 12606 ]	Validation
38,354	17	Title: BPM: Blended Piecewise Möbius Maps Abstract: We propose a novel Möbius interpolator that takes as an input a discrete map between the vertices of two planar triangle meshes, and outputs a continuous map on the input domain. The output map interpolates the discrete map, is continuous between triangles, and has lo...	[]	Train
38,355	30	Title: Generative Multimodal Entity Linking Abstract: Multimodal Entity Linking (MEL) is the task of mapping mentions with multimodal contexts to the referent entities from a knowledge base (e.g. Wikipedia). Existing MEL methods mainly focus on designing complex multimodal interaction mechanisms and require fine-tuning...	[ 10624, 43641, 33220, 13700 ]	Validation
38,356	16	Title: An End-to-End Framework For Universal Lesion Detection With Missing Annotations Abstract: Fully annotated large-scale medical image datasets are highly valuable. However, because labeling medical images is tedious and requires specialized knowledge, the large-scale datasets available often have missing annotatio...	[]	Train
38,357	4	Title: WASMixer: Binary Obfuscation for WebAssembly Abstract: WebAssembly (Wasm) is an emerging binary format that draws great attention from our community. However, Wasm binaries are weakly protected, as they can be read, edited, and manipulated by adversaries using either the officially provided readable text format ...	[ 35203 ]	Validation
38,358	30	Title: ARTIST: ARTificial Intelligence for Simplified Text Abstract: Complex text is a major barrier for many citizens when accessing public information and knowledge. While often done manually, Text Simplification is a key Natural Language Processing task that aims for reducing the linguistic complexity of a text whil...	[]	Train
38,359	16	Title: AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising Abstract: Spectral unmixing has been extensively studied with a variety of methods and used in many applications. Recently, data-driven techniques with deep learning methods have obtained great attention to spe...	[]	Test
38,360	16	Title: Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation Abstract: The crux of label-efficient semantic segmentation is to produce high-quality pseudo-labels to leverage a large amount of unlabeled or weakly labeled data. A common practice is to select the highly confident predictions as the pseu...	[ 645, 22542, 34355, 26359, 23320 ]	Train
38,361	23	Title: ROME: Testing Image Captioning Systems via Recursive Object Melting Abstract: Image captioning (IC) systems aim to generate a text description of the salient objects in an image. In recent years, IC systems have been increasingly integrated into our daily lives, such as assistance for visually-impaired people an...	[]	Test
38,362	36	Title: Lightning Creation Games Abstract: Payment channel networks (PCNs) are a promising solution to the scalability problem of cryptocurrencies. Any two users connected by a payment channel in the network can theoretically send an unbounded number of instant, costless transactions between them. Users who are not dire...	[]	Train
38,363	25	Title: Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound Abstract: Deep neural networks (DNNs) have been widely and successfully adopted and deployed in various applications of speech recognition. Recently, a few works revealed that these models are vulnerable to backdoor attacks, where...	[ 12680, 8929, 30307, 22031 ]	Validation
38,364	26	Title: Applications of Intelligent Systems in Green Technology Abstract: Intelligent Systems (ISs) are technologically advanced machines, which perceive and respond to the environment around them. They are usually of various forms ranging from software to hardware. ISs are generally the fusion of Artificial Intelligenc...	[]	Train
38,365	24	Title: Discovery of structure-property relations for molecules via hypothesis-driven active learning over the chemical space Abstract: Discovery of the molecular candidates for applications in drug targets, biomolecular systems, catalysts, photovoltaics, organic electronics, and batteries, necessitates development of m...	[ 43457 ]	Test
38,366	9	Title: BQP $=$ PSPaCE Abstract: The complexity class $PSPACE$ includes all computational problems that can be solved by a classical computer with polynomial memory. All $PSPACE$ problems are known to be solvable by a quantum computer too with polynomial memory and are, thus, known to be in $BQPSPACE$. Here, we present ...	[]	Validation
38,367	30	Title: Remote Inference of Cognitive Scores in ALS Patients Using a Picture Description Abstract: Amyotrophic lateral sclerosis (ALS) is a fatal disease that affects not only movement, speech, and breathing but also cognition. Recent studies have focused on the use of language analysis techniques to detect ALS and infe...	[]	Test
38,368	16	Title: PersonNeRF : Personalized Reconstruction from Photo Collections Abstract: We present PersonNeRF, a method that takes a collection of photos of a subject (e.g. Roger Federer) captured across multiple years with arbitrary body poses and ap-pearances, and enables rendering the subject with arbitrary novel combinati...	[ 42505, 26825, 44501, 3438 ]	Train
38,369	28	Title: Worst case tractability of L2-approximation for weighted Korobov spaces Abstract: We study $L_2$-approximation problems $\text{APP}_d$ in the worst case setting in the weighted Korobov spaces $H_{d,\a,{\bm \ga}}$ with parameter sequences ${\bm \ga}=\{\ga_j\}$ and $\a=\{\az_j\}$ of positive real numbers $1\ge \ga...	[]	Validation
38,370	16	Title: DeepAqua: Self-Supervised Semantic Segmentation of Wetland Surface Water Extent with SAR Images using Knowledge Distillation Abstract: Deep learning and remote sensing techniques have significantly advanced water monitoring abilities; however, the need for annotated data remains a challenge. This is particularly...	[]	Train
38,371	24	Title: Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations Abstract: Counterfactual explanations (CFEs) exemplify how to minimally modify a feature vector to achieve a different prediction for an instance. CFEs can enhance informational fairness and trustworthiness, and provide sugges...	[]	Train
38,372	16	Title: NPVForensics: Jointing Non-critical Phonemes and Visemes for Deepfake Detection Abstract: Deepfake technologies empowered by deep learning are rapidly evolving, creating new security concerns for society. Existing multimodal detection methods usually capture audio-visual inconsistencies to expose Deepfake videos...	[]	Test
38,373	16	Title: MACARONS: Mapping and Coverage Anticipation with RGB Online Self-Supervision Abstract: We introduce a method that simultaneously learns to explore new large environments and to reconstruct them in 3D from color images only. This is closely related to the Next Best View problem (NBV), where one has to identify wh...	[]	Train
38,374	16	Title: Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision Abstract: Denoising diffusion models are a powerful type of generative models used to capture complex distributions of real-world signals. However, their applicability is limited to scenarios where training samples are ...	[ 21152, 3912, 9706, 22480, 32980, 44726, 7993, 14842, 29531, 223 ]	Validation
38,375	26	Title: Network Analysis as a Tool for Shaping Conservation and Development Policy: A Case Study of Timber Market Optimization in India Abstract: The incorporation of trees on farms can help to improve livelihoods and build resilience among small-holder farmers in developing countries. On-farm trees can help gen- erate ...	[]	Validation
38,376	16	Title: Towards Accurate and Reliable Change Detection of Remote Sensing Images via Knowledge Review and Online Uncertainty Estimation Abstract: Change detection (CD) is an essential task for various real-world applications, such as urban management and disaster assessment. However, previous methods primarily focus on i...	[]	Validation
38,377	30	Title: Diffusion Models in NLP: A Survey Abstract: Diffusion models have become a powerful family of deep generative models, with record-breaking performance in many applications. This paper first gives an overview and derivation of the basic theory of diffusion models, then reviews the research results of diffusion mo...	[ 1603, 8308, 17941 ]	Train

Subsets and Splits

No community queries yet

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