node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
15,978 | 16 | Title: Pentagon-Match (PMatch): Identification of View-Invariant Planar Feature for Local Feature Matching-Based Homography Estimation
Abstract: In computer vision, finding correct point correspondence among images plays an important role in many applications, such as image stitching, image retrieval, visual localizati... | [] | Test |
15,979 | 24 | Title: A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection
Abstract: Current machine learning models achieve super-human performance in many real-world applications. Still, they are susceptible against imperceptible adversarial perturbations. The most effective s... | [] | Test |
15,980 | 28 | Title: Joint Beam Routing and Resource Allocation Optimization for Multi-IRS-Reflection Wireless Power Transfer
Abstract: Intelligent reflecting surface (IRS) can be densely deployed in complex environments to create cascaded line-of-sight (LoS) links between base stations (BSs) and users, which significantly enhance t... | [
22548
] | Validation |
15,981 | 16 | Title: F?D: On understanding the role of deep feature spaces on face generation evaluation
Abstract: Perceptual metrics, like the Fr\'echet Inception Distance (FID), are widely used to assess the similarity between synthetically generated and ground truth (real) images. The key idea behind these metrics is to compute e... | [
12954
] | Train |
15,982 | 30 | Title: Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models
Abstract: Pre-trained transformer-based language models are becoming increasingly popular due to their exceptional performance on various benchmarks. However, concerns persist regarding the presence of ... | [
20598
] | Validation |
15,983 | 16 | Title: T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
Abstract: The incredible generative ability of large-scale text-to-image (T2I) models has demonstrated strong power of learning complex structures and meaningful semantics. However, relying solely on text promp... | [
3097,
7709,
25640,
11820,
3631,
560,
41528,
38465,
44621,
6739,
40534,
14939,
42078,
20474,
6756,
20595,
8308,
23669,
17526,
32384,
18048,
34950,
16523,
33932,
42137,
44197,
44711,
31913,
16557,
39603,
24763,
42695,
32467,
30936,
14047,
17647,
... | Test |
15,984 | 27 | Title: Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation
Abstract: Robot control for tactile feedback based manip-ulation can be difficult due to modeling of physical contacts, partial observability of the environment, and noise in perception and control. This work focuses on solving partial observabil... | [] | Test |
15,985 | 30 | Title: Is Anisotropy Inherent to Transformers?
Abstract: The representation degeneration problem is a phenomenon that is widely observed among self-supervised learning methods based on Transformers. In NLP, it takes the form of anisotropy, a singular property of hidden representations which makes them unexpectedly clos... | [] | Test |
15,986 | 28 | Title: Semi-Grant-Free Orthogonal Multiple Access with Partial-Information for Short Packet Transmissions
Abstract: Next-generation internet-of-things (IoT) networks require extremely low latency, complexity, and collision probability. We introduce the novel partial-information multiple access (PIMA) scheme, a semi-gra... | [
43743
] | Train |
15,987 | 16 | Title: Transformer-based stereo-aware 3D object detection from binocular images
Abstract: Vision Transformers have shown promising progress in various object detection tasks, including monocular 2D/3D detection and surround-view 3D detection. However, when used in essential and classic stereo 3D object detection, direc... | [] | Train |
15,988 | 24 | Title: ContraBAR: Contrastive Bayes-Adaptive Deep RL
Abstract: In meta reinforcement learning (meta RL), an agent seeks a Bayes-optimal policy -- the optimal policy when facing an unknown task that is sampled from some known task distribution. Previous approaches tackled this problem by inferring a belief over task par... | [] | Train |
15,989 | 24 | Title: torchgfn: A PyTorch GFlowNet library
Abstract: The growing popularity of generative flow networks (GFlowNets or GFNs) from a range of researchers with diverse backgrounds and areas of expertise necessitates a library which facilitates the testing of new features such as training losses that can be easily compare... | [
29267,
15438,
32279
] | Train |
15,990 | 6 | Title: Affective Affordance of Message Balloon Animations: An Early Exploration of AniBalloons
Abstract: We introduce the preliminary exploration of AniBalloons, a novel form of chat balloon animations aimed at enriching nonverbal affective expression in text-based communications. AniBalloons were designed using extrac... | [] | Train |
15,991 | 28 | Title: Diagonal Waveform and Algorithm to Estimate Range and Velocity in Multi-Object Scenarios
Abstract: Waveform design for joint communication and sensing (JCAS) is an important research direction, focusing on providing an optimal tradeoff between communication and sensing performance. In this paper, we first descri... | [
7046
] | Train |
15,992 | 16 | Title: Patched Denoising Diffusion Models For High-Resolution Image Synthesis
Abstract: We propose an effective denoising diffusion model for generating high-resolution images (e.g., 1024$\times$512), trained on small-size image patches (e.g., 64$\times$64). We name our algorithm Patch-DM, in which a new feature collag... | [] | Train |
15,993 | 4 | Title: Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments
Abstract: Large Language Models (LLMs) have gained widespread popularity across diverse domains involving text generation, summarization, and various natural language processing tasks. Despite their inherent limitations, LLM-based designs... | [
32450,
17606,
16556,
37742,
24720,
45115,
35292,
8157
] | Train |
15,994 | 24 | Title: Mitigating Label Noise through Data Ambiguation
Abstract: Label noise poses an important challenge in machine learning, especially in deep learning, in which large models with high expressive power dominate the field. Models of that kind are prone to memorizing incorrect labels, thereby harming generalization pe... | [] | Validation |
15,995 | 24 | Title: GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification
Abstract: Graph neural networks (GNNs) have achieved great success in node classification tasks. However, existing GNNs naturally bias towards the majority classes with more labelled data and ignore those minority classes with relatively f... | [] | Test |
15,996 | 16 | Title: Hair and Scalp Disease Detection using Machine Learning and Image Processing
Abstract: Almost 80 million Americans suffer from hair loss due to aging, stress, medication, or genetic makeup. Hair and scalp-related diseases often go unnoticed in the beginning. Sometimes, a patient cannot differentiate between hair... | [
16664,
34729,
31973
] | Validation |
15,997 | 16 | Title: XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models
Abstract: The latest breakthroughs in large vision-language models, such as Bard and GPT-4, have showcased extraordinary abilities in performing a wide range of tasks. Such models are trained on massive datasets comprising billions of ... | [
1923,
13700,
15075,
28870,
14281,
41104,
8084,
39638,
7384,
34074
] | Test |
15,998 | 28 | Title: AG codes have no list-decoding friends: Approaching the generalized Singleton bound requires exponential alphabets
Abstract: A simple, recently observed generalization of the classical Singleton bound to list-decoding asserts that rate $R$ codes are not list-decodable using list-size $L$ beyond an error fraction... | [
40604,
2479
] | Train |
15,999 | 24 | Title: Random Separating Hyperplane Theorem and Learning Polytopes
Abstract: The Separating Hyperplane theorem is a fundamental result in Convex Geometry with myriad applications. Our first result, Random Separating Hyperplane Theorem (RSH), is a strengthening of this for polytopes. $\rsh$ asserts that if the distance ... | [] | Train |
16,000 | 15 | Title: Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks
Abstract: Reasoning high-level abstractions from bit-blasted Boolean networks (BNs) such as gate-level netlists can significantly benefit functional verification, logic minimization, datapath synthesis, malicious logic identificatio... | [
12236
] | Validation |
16,001 | 31 | Title: DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations
Abstract: In e-commerce platforms, the relevant recommendation is a unique scenario providing related items for a trigger item that users are interested in. However, users' preferences for the similarity and diversity of reco... | [
20844
] | Validation |
16,002 | 16 | Title: Discriminative Class Tokens for Text-to-Image Diffusion Models
Abstract: Recent advances in text-to-image diffusion models have enabled the generation of diverse and high-quality images. While impressive, the images often fall short of depicting subtle details and are susceptible to errors due to ambiguity in th... | [
13205
] | Validation |
16,003 | 28 | Title: On the hull and complementarity of one generator quasi-cyclic codes and four-circulant codes
Abstract: We study one generator quasi-cyclic codes and four-circulant codes, which are also quasi-cyclic but have two generators. We state the hull dimensions for both classes of codes in terms of the polynomials in the... | [] | Validation |
16,004 | 24 | Title: UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming
Abstract: Deep learning models have demonstrated impressive performance in various domains. However, the prolonged training time of these models remains a critical problem. Manually designed parallel training stra... | [
7370
] | Train |
16,005 | 24 | Title: Why (and When) does Local SGD Generalize Better than SGD?
Abstract: Local SGD is a communication-efficient variant of SGD for large-scale training, where multiple GPUs perform SGD independently and average the model parameters periodically. It has been recently observed that Local SGD can not only achieve the de... | [
36442,
40791
] | Test |
16,006 | 16 | Title: Combining feature aggregation and geometric similarity for re-identification of patterned animals
Abstract: Image-based re-identification of animal individuals allows gathering of information such as migration patterns of the animals over time. This, together with large image volumes collected using camera traps... | [] | Train |
16,007 | 24 | Title: Hall effect thruster design via deep neural network for additive manufacturing
Abstract: Hall effect thrusters are one of the most versatile and popular electric propulsion systems for space use. Industry trends towards interplanetary missions arise advances in design development of such propulsion systems. It i... | [] | Train |
16,008 | 10 | Title: Abstraction-based Probabilistic Stability Analysis of Polyhedral Probabilistic Hybrid Systems
Abstract: In this paper, we consider the problem of probabilistic stability analysis of a subclass of Stochastic Hybrid Systems, namely, Polyhedral Probabilistic Hybrid Systems (PPHS), where the flow dynamics is given b... | [] | Train |
16,009 | 16 | Title: DiVA-360: The Dynamic Visuo-Audio Dataset for Immersive Neural Fields
Abstract: Advances in neural fields are enabling high-fidelity capture of the shape and appearance of static and dynamic scenes. However, their capabilities lag behind those offered by representations such as pixels or meshes due to algorithmi... | [
41400,
19630,
2908,
6716
] | Train |
16,010 | 16 | Title: TPE-Net: Track Point Extraction and Association Network for Rail Path Proposal Generation
Abstract: One essential feature of an autonomous train is minimizing collision risks with third-party objects. To estimate the risk, the control system must identify topological information of all the rail routes ahead on w... | [] | Train |
16,011 | 10 | Title: Epsilon-Identifiability of Causal Quantities
Abstract: Identifying the effects of causes and causes of effects is vital in virtually every scientific field. Often, however, the needed probabilities may not be fully identifiable from the data sources available. This paper shows how partial identifiability is stil... | [
18500,
42767
] | Train |
16,012 | 24 | Title: Learning Optimal Features via Partial Invariance
Abstract: Learning models that are robust to distribution shifts is a key concern in the context of their real-life applicability. Invariant Risk Minimization (IRM) is a popular framework that aims to learn robust models from multiple environments. The success of ... | [] | Test |
16,013 | 16 | Title: Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis
Abstract: The duality of content and style is inherent to the nature of art. For humans, these two elements are clearly different: content refers to the objects and concepts in the piece of art, and style to the way it is... | [] | Train |
16,014 | 24 | Title: Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks
Abstract: We introduce Goat, a fine-tuned LLaMA model that significantly outperforms GPT-4 on a range of arithmetic tasks. Fine-tuned on a synthetically generated dataset, Goat achieves state-of-the-art performance on BIG-bench arithmetic sub-task. In ... | [
13345,
38338,
19394,
13700,
34981,
18404,
30630,
35556,
34178,
30538,
10163,
38167,
634,
29375
] | Validation |
16,015 | 16 | Title: Gradient-Free Textual Inversion
Abstract: Recent works on personalized text-to-image generation usually learn to bind a special token with specific subjects or styles of a few given images by tuning its embedding through gradient descent. It is natural to question whether we can optimize the textual inversions b... | [
36524,
28532,
15142,
1767
] | Test |
16,016 | 16 | Title: MaskBEV: Joint Object Detection and Footprint Completion for Bird's-eye View 3D Point Clouds
Abstract: Recent works in object detection in LiDAR point clouds mostly focus on predicting bounding boxes around objects. This prediction is commonly achieved using anchor-based or anchor-free detectors that predict bou... | [] | Test |
16,017 | 7 | Title: A Discontinuous Galerkin Finite Element Model for Compound Flood Simulations
Abstract: Recent tropical cyclones, e.g., Hurricane Harvey (2017), have lead to significant rainfall and resulting runoff with accompanying flooding. When the runoff interacts with storm surge, the resulting floods can be greatly amplif... | [] | Train |
16,018 | 16 | Title: Improving Fairness in Deepfake Detection
Abstract: Despite the development of effective deepfake detection models in recent years, several recent studies have demonstrated that biases in the training data utilized to develop deepfake detection models can lead to unfair performance for demographic groups of diffe... | [
24443,
366
] | Test |
16,019 | 4 | Title: FVCARE: Formal Verification of Security Primitives in Resilient Embedded SoCs
Abstract: With the increased utilization, the small embedded and IoT devices have become an attractive target for sophisticated attacks that can exploit the devices security critical information and data in malevolent activities. Secur... | [] | Validation |
16,020 | 34 | Title: Improved Coresets for Clustering with Capacity and Fairness Constraints
Abstract: We study coresets for clustering with capacity and fairness constraints. Our main result is a near-linear time algorithm to construct $\tilde{O}(k^2\varepsilon^{-2z-2})$-sized $\varepsilon$-coresets for capacitated $(k,z)$-clusteri... | [] | Validation |
16,021 | 23 | Title: Can I Trust My Simulation Model? Measuring the Quality of Business Process Simulation Models
Abstract: Business Process Simulation (BPS) is an approach to analyze the performance of business processes under different scenarios. For example, BPS allows us to estimate what would be the cycle time of a process if o... | [] | Validation |
16,022 | 16 | Title: Chordal Averaging on Flag Manifolds and Its Applications
Abstract: This paper presents a new, provably-convergent algorithm for computing the flag-mean and flag-median of a set of points on a flag manifold under the chordal metric. The flag manifold is a mathematical space consisting of flags, which are sequence... | [
36956
] | Train |
16,023 | 17 | Title: Variational Bonded Discrete Element Method with Manifold Optimization
Abstract: This paper proposes a novel approach that combines variational integration with the bonded discrete element method (BDEM) to achieve faster and more accurate fracture simulations. The approach leverages the efficiency of implicit int... | [
29345
] | Validation |
16,024 | 16 | Title: Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization
Abstract: The generalization with respect to domain shifts, as they frequently appear in applications such as autonomous driving, is one of the remaining big challenges for deep learning models. Therefore, we propose an exemp... | [
20536
] | Validation |
16,025 | 6 | Title: Open Questions about the Visualization of Sociodemographic Data
Abstract: This paper collects a set of open research questions on how to visualize sociodemographic data. Sociodemographic data is a common part of datasets related to people, including institutional censuses, health data systems, and human-resource... | [] | Test |
16,026 | 8 | Title: NetClone: Fast, Scalable, and Dynamic Request Cloning for Microsecond-Scale RPCs
Abstract: Spawning duplicate requests, called cloning, is a powerful technique to reduce tail latency by masking service-time variability. However, traditional client-based cloning is static and harmful to performance under high loa... | [] | Test |
16,027 | 27 | Title: Versatile multicontact planning and control for legged loco-manipulation
Abstract: Loco-manipulation planning skills are pivotal for expanding the utility of robots in everyday environments. These skills can be assessed on the basis of a system’s ability to coordinate complex holistic movements and multiple cont... | [
961
] | Train |
16,028 | 30 | Title: Evaluation of medium-large Language Models at zero-shot closed book generative question answering
Abstract: Large language models (LLMs) have garnered significant attention, but the definition of"large"lacks clarity. This paper focuses on medium-sized language models (MLMs), defined as having at least six billio... | [
14592,
13345,
13700,
13510,
19720,
25772,
6797,
5815,
29375
] | Train |
16,029 | 28 | Title: Block Codes in Pomset Metric over $\mathbb{Z}_m$
Abstract: In this paper, we introduce codes equipped with pomset block metric. A Singleton type bound for pomset block codes is obtained. Code achieving the Singleton bound, called a maximum distance separable code (for short, MDS ($\mathbb{P},\pi$)-code) is also ... | [] | Test |
16,030 | 16 | Title: Object Segmentation by Mining Cross-Modal Semantics
Abstract: Multi-sensor clues have shown promise for object segmentation, but inherent noise in each sensor, as well as the calibration error in practice, may bias the segmentation accuracy. In this paper, we propose a novel approach by mining the Cross-Modal Se... | [
22584,
6212,
40749,
19510
] | Train |
16,031 | 10 | Title: Tailoring Requirements Engineering for Responsible AI
Abstract: Recently reported issues concerning the acceptance of artificial intelligence (AI) solutions after deployment stress the importance of requirements engineering (RE) for designing and delivering responsible AI systems. In this article, we argue that ... | [
25652,
2645
] | Train |
16,032 | 6 | Title: Olio: A Semantic Search Interface for Data Repositories
Abstract: Search and information retrieval systems are becoming more expressive in interpreting user queries beyond the traditional weighted bag-of-words model of document retrieval. For example, searching for a flight status or a game score returns a dynam... | [
44246
] | Train |
16,033 | 4 | Title: Passive Query-Recovery Attack Against Secure Conjunctive Keyword Search Schemes
Abstract: nan | [
14344
] | Validation |
16,034 | 2 | Title: OCTAL: Graph Representation Learning for LTL Model Checking
Abstract: Model Checking is widely applied in verifying the correctness of complex and concurrent systems against a specification. Pure symbolic approaches while popular, suffer from the state space explosion problem due to cross product operations requ... | [
33896
] | Train |
16,035 | 11 | Title: Stochastic Graph Neural Network-based Value Decomposition for MARL in Internet of Vehicles
Abstract: Autonomous driving has witnessed incredible advances in the past several decades, while Multi-Agent Reinforcement Learning (MARL) promises to satisfy the essential need of autonomous vehicle control in a wireless... | [
592
] | Train |
16,036 | 4 | Title: How effective is multifactor authentication at deterring cyberattacks?
Abstract: This study investigates the effectiveness of multifactor authentication (MFA) in protecting commercial accounts from unauthorized access, with an additional focus on accounts with known credential leaks. We employ the benchmark-mult... | [] | Test |
16,037 | 27 | Title: Constrained Generative Sampling of 6-DoF Grasps
Abstract: Most state-of-the-art data-driven grasp sampling methods propose stable and collision-free grasps uniformly on the target object. For bin-picking, executing any of those reachable grasps is sufficient. However, for completing specific tasks, such as squee... | [
38786,
32725
] | Train |
16,038 | 24 | Title: Learning Good Interventions in Causal Graphs via Covering
Abstract: We study the causal bandit problem that entails identifying a near-optimal intervention from a specified set $A$ of (possibly non-atomic) interventions over a given causal graph. Here, an optimal intervention in ${A}$ is one that maximizes the e... | [] | Train |
16,039 | 16 | Title: Raising The Limit Of Image Rescaling Using Auxiliary Encoding
Abstract: Normalizing flow models using invertible neural networks (INN) have been widely investigated for successful generative image super-resolution (SR) by learning the transformation between the normal distribution of latent variable $z$ and the ... | [] | Train |
16,040 | 16 | Title: Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
Abstract: We present MindEye, a novel fMRI-to-image approach to retrieve and reconstruct viewed images from brain activity. Our model comprises two parallel submodules that are specialized for retrieval (using contrastive... | [
37299,
17596
] | Train |
16,041 | 24 | Title: Learning from A Single Graph is All You Need for Near-Shortest Path Routing in Wireless Networks
Abstract: We propose a learning algorithm for local routing policies that needs only a few data samples obtained from a single graph while generalizing to all random graphs in a standard model of wireless networks. W... | [
127
] | Validation |
16,042 | 24 | Title: A Deep Learning Approach for Generating Soft Range Information from RF Data
Abstract: Radio frequency (RF)-based techniques are widely adopted for indoor localization despite the challenges in extracting sufficient information from measurements. Soft range information (SRI) offers a promising alternative for hig... | [
27552,
1497
] | Validation |
16,043 | 30 | Title: On Graph-based Reentrancy-free Semantic Parsing
Abstract: We propose a novel graph-based approach for semantic parsing that resolves two problems observed in the literature: (1) seq2seq models fail on compositional generalization tasks; (2) previous work using phrase structure parsers cannot cover all the semant... | [
9196
] | Train |
16,044 | 16 | Title: CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion
Abstract: Semantic scene completion (SSC) requires an accurate understanding of the geometric and semantic relationships between the objects in the 3D scene for reasoning the occluded objects. The popular SSC methods voxelize the 3D object... | [
17612
] | Test |
16,045 | 16 | Title: Explore In-Context Learning for 3D Point Cloud Understanding
Abstract: With the rise of large-scale models trained on broad data, in-context learning has become a new learning paradigm that has demonstrated significant potential in natural language processing and computer vision tasks. Meanwhile, in-context lear... | [
42599
] | Train |
16,046 | 28 | Title: Robust Train-to-Train Transmission Scheduling in mmWave Band for High Speed Train Communication Systems
Abstract: Demands for data traffic in high-speed railway (HSR) has increased drastically. The increasing entertainment needs of passengers, safety control information exchanges of trains, etc., make train-to-t... | [] | Train |
16,047 | 24 | Title: Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
Abstract: Warm-Start reinforcement learning (RL), aided by a prior policy obtained from offline training, is emerging as a promising RL approach for practical applications. Recent empirical studies have demonstrated that the performance of W... | [] | Validation |
16,048 | 6 | Title: Evaluation of AI-Supported Input Methods in Augmented Reality Environment
Abstract: Augmented Reality (AR) solutions are providing tools that could improve applications in the medical and industrial fields. Augmentation can provide additional information in training, visualization, and work scenarios, to increas... | [] | Train |
16,049 | 10 | Title: Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport
Abstract: Answering complex queries on knowledge graphs is important but particularly challenging because of the data incompleteness. Query embedding methods address this issue by learning-based models and simul... | [
18852,
33892,
28813,
41368,
15293
] | Train |
16,050 | 27 | Title: Multi-Stage Cable Routing through Hierarchical Imitation Learning
Abstract: We study the problem of learning to perform multi-stage robotic manipulation tasks, with applications to cable routing, where the robot must route a cable through a series of clips. This setting presents challenges representative of comp... | [
33816,
25959,
12567
] | Test |
16,051 | 3 | Title: Turnkey Technology: A Powerful Tool for Cyber Warfare
Abstract: Turnkey technology has emerged as a game-changing tool in cyber warfare, offering state and non-state actors unprecedented access to advanced cyber capabilities. The advantages of turnkey technology include rapid deployment and adaptability, lower c... | [] | Train |
16,052 | 6 | Title: Live Exploration of AI-Generated Programs
Abstract: AI-powered programming assistants are increasingly gaining popularity, with GitHub Copilot alone used by over a million developers worldwide. These tools are far from perfect, however, producing code suggestions that may be incorrect or incomplete in subtle way... | [
40187,
23276
] | Train |
16,053 | 16 | Title: Spike Stream Denoising via Spike Camera Simulation
Abstract: As a neuromorphic sensor with high temporal resolution, the spike camera shows enormous potential in high-speed visual tasks. However, the high-speed sampling of light propagation processes by existing cameras brings unavoidable noise phenomena. Elimin... | [] | Train |
16,054 | 24 | Title: Improving Fair Training under Correlation Shifts
Abstract: Model fairness is an essential element for Trustworthy AI. While many techniques for model fairness have been proposed, most of them assume that the training and deployment data distributions are identical, which is often not true in practice. In particu... | [] | Validation |
16,055 | 16 | Title: Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction
Abstract: Ultrasound (US) imaging is a popular tool in clinical diagnosis, offering safety, repeatability, and real-time capabilities. Freehand 3D US is a technique that provides a deeper understanding of scanned regions without inc... | [] | Train |
16,056 | 30 | Title: Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks
Abstract: Disentangling sentence representations over continuous spaces can be a critical process in improving interpretability and semantic control by localising explicit generative factors. Such process confers to neural-based... | [
40252
] | Train |
16,057 | 28 | Title: Automatic and Flexible Transmission of Semantic Map Images using Polar Codes for End-to-End Semantic-based Communication Systems
Abstract: Semantic communication represents a promising roadmap toward achieving end-to-end communication with reduced communication overhead and an enhanced user experience. The integ... | [
22752,
14029,
15263
] | Train |
16,058 | 24 | Title: Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction
Abstract: Monotone missing data is a common problem in data analysis. However, imputation combined with dimensionality reduction can be computationally expensive, especially with the increasing size of datase... | [] | Train |
16,059 | 28 | Title: Joint Downlink-Uplink Beamforming for Wireless Multi-Antenna Federated Learning
Abstract: We study joint downlink-uplink beamforming design for wireless federated learning (FL) with a multi-antenna base station. Considering analog transmission over noisy channels and uplink over-the-air aggregation, we derive th... | [] | Validation |
16,060 | 30 | Title: iMETRE: Incorporating Markers of Entity Types for Relation Extraction
Abstract: Sentence-level relation extraction (RE) aims to identify the relationship between 2 entities given a contextual sentence. While there have been many attempts to solve this problem, the current solutions have a lot of room to improve.... | [
36497,
40158
] | Test |
16,061 | 30 | Title: BELB: a Biomedical Entity Linking Benchmark
Abstract: Biomedical entity linking (BEL) is the task of grounding entity mentions to a knowledge base. It plays a vital role in information extraction pipelines for the life sciences literature. We review recent work in the field and find that, as the task is absent f... | [] | Train |
16,062 | 16 | Title: Multimodal Event Transformer for Image-guided Story Ending Generation
Abstract: Image-guided story ending generation (IgSEG) is to generate a story ending based on given story plots and ending image. Existing methods focus on cross-modal feature fusion but overlook reasoning and mining implicit information from ... | [
2062
] | Test |
16,063 | 16 | Title: A Privacy Preserving Method with a Random Orthogonal Matrix for ConvMixer Models
Abstract: In this paper, a privacy preserving image classification method is proposed under the use of ConvMixer models. To protect the visual information of test images, a test image is divided into blocks, and then every block is ... | [] | Validation |
16,064 | 16 | Title: Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction
Abstract: Photographs taken with less-than-ideal exposure settings often display poor visual quality. Since the correction procedures vary significantly, it is difficult for a single neural network to handle all exposur... | [
36829
] | Train |
16,065 | 27 | Title: RREx-BoT: Remote Referring Expressions with a Bag of Tricks
Abstract: Household robots operate in the same space for years. Such robots incrementally build dynamic maps that can be used for tasks requiring remote object localization. However, benchmarks in robot learning often test generalization through inferen... | [] | Train |
16,066 | 8 | Title: IP Neo-colonialism: Geo-auditing RIR Address Registrations
Abstract: Allocation of the global IP address space is under the purview of IANA, who distributes management responsibility among five geographically distinct Regional Internet Registries (RIRs). Each RIR is empowered to bridge technical (e.g., address u... | [] | Train |
16,067 | 5 | Title: FMI: Fast and Cheap Message Passing for Serverless Functions
Abstract: Serverless functions provide elastic scaling and a fine-grained billing model, making Function-as-a-Service (FaaS) an attractive programming model. However, for distributed jobs that benefit from large-scale and dynamic parallelism, the lack ... | [
19528
] | Train |
16,068 | 24 | Title: Markov Decision Process with an External Temporal Process
Abstract: Most reinforcement learning algorithms treat the context under which they operate as a stationary, isolated and undisturbed environment. However, in the real world, the environment is constantly changing due to a variety of external influences. ... | [] | Train |
16,069 | 16 | Title: RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs
Abstract: We propose a robust and accurate non-parametric method for single-view 3D face reconstruction (SVFR). While tremendous efforts have been devoted to parametric SVFR, a visible gap still lies between the re... | [
27688
] | Train |
16,070 | 27 | Title: Enhancing Dexterity in Robotic Manipulation via Hierarchical Contact Exploration
Abstract: We present a hierarchical planning framework for dexterous robotic manipulation (HiDex). This framework exploits in-hand and extrinsic dexterity by actively exploring contacts. It generates rigid-body motions and complex c... | [
35472,
28018
] | Validation |
16,071 | 30 | Title: Generative Knowledge Selection for Knowledge-Grounded Dialogues
Abstract: Knowledge selection is the key in knowledge-grounded dialogues (KGD), which aims to select an appropriate knowledge snippet to be used in the utterance based on dialogue history. Previous studies mainly employ the classification approach t... | [] | Train |
16,072 | 4 | Title: Achieving Maximum Efficiency in Schnorr-based Multi-signature and Applications in Blockchain
Abstract: Multi-signature aggregates signatures from multiple users on the same message into a joint signature, which is widely applied in blockchain to reduce the percentage of signatures in blocks and improve the throu... | [] | Train |
16,073 | 24 | Title: Meta-Value Learning: a General Framework for Learning with Learning Awareness
Abstract: Gradient-based learning in multi-agent systems is difficult because the gradient derives from a first-order model which does not account for the interaction between agents' learning processes. LOLA (arXiv:1709.04326) accounts... | [] | Validation |
16,074 | 27 | Title: GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields
Abstract: It is a long-standing problem in robotics to develop agents capable of executing diverse manipulation tasks from visual observations in unstructured real-world environments. To achieve this goal, the robot needs to have a... | [
29056,
3629,
22222,
41400,
43710
] | Test |
16,075 | 6 | Title: 3D Gaze Vis: Sharing Eye Tracking Data Visualization for Collaborative Work in VR Environment
Abstract: Conducting collaborative tasks, e.g., multi-user game, in virtual reality (VR) could enable us to explore more immersive and effective experience. However, for current VR systems, users cannot communicate prop... | [] | Validation |
16,076 | 9 | Title: Certified Hardness vs. Randomness for Log-Space
Abstract: Let $\mathcal{L}$ be a language that can be decided in linear space and let $\epsilon>0$ be any constant. Let $\mathcal{A}$ be the exponential hardness assumption that for every $n$, membership in $\mathcal{L}$ for inputs of length~$n$ cannot be decided b... | [] | Train |
16,077 | 24 | Title: Measuring and Mitigating Interference in Reinforcement Learning
Abstract: Catastrophic interference is common in many network-based learning systems, and many proposals exist for mitigating it. Before overcoming interference we must understand it better. In this work, we provide a definition and novel measure of... | [
17242
] | Validation |
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