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
21,178	16	Title: Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA Abstract: Recent works demonstrate a remarkable ability to customize text-to-image diffusion models while only providing a few example images. What happens if you try to customize such models using multiple, fine-grained concepts...	[ 28482, 4716, 38453, 20687 ]	Train
21,179	21	Title: A Systematic Review on Human Modeling: Digging into Human Digital Twin Implementations Abstract: Human Digital Twins (HDTs) are digital replicas of humans that either mirror a complete human body, some parts of it as can be organs, flows, cells, or even human behaviors. An HDT is a human specific replica applica...	[]	Train
21,180	4	Title: Prompt Injection attack against LLM-integrated Applications Abstract: Large Language Models (LLMs), renowned for their superior proficiency in language comprehension and generation, stimulate a vibrant ecosystem of applications around them. However, their extensive assimilation into various services introduces s...	[ 22148, 31238, 22283, 5522, 40597, 43925, 39840, 19747, 16556, 27440, 4408, 29757, 14148, 28362, 18764, 31439, 1115, 35170, 10723, 744, 26094, 37360, 3967, 1401, 634, 6398, 19583 ]	Train
21,181	24	Title: RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Abstract: Visual model-based RL methods typically encode image observations into low-dimensional representations in a manner that does not eliminate redundant information. This leaves them susceptible to spurious variatio...	[ 4643, 8983 ]	Train
21,182	10	Title: Integrating the Wikidata Taxonomy into YAGO Abstract: Wikidata is one of the largest public general-purpose Knowledge Bases (KBs). Yet, due to its collaborative nature, its schema and taxonomy have become convoluted. For the YAGO 4 KB, we combined Wikidata with the ontology from Schema.org, which reduced and cle...	[ 13700 ]	Train
21,183	24	Title: Unsupervised Anomaly Detection with Rejection Abstract: Anomaly detection aims at detecting unexpected behaviours in the data. Because anomaly detection is usually an unsupervised task, traditional anomaly detectors learn a decision boundary by employing heuristics based on intuitions, which are hard to verify i...	[ 43556 ]	Train
21,184	24	Title: Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML Abstract: Automated Machine Learning (AutoML) frameworks regularly use ensembles. Developers need to compare different ensemble techniques to select appropriate techniques for an AutoML framework from the many potential technique...	[ 27313, 3540 ]	Train
21,185	16	Title: Evaluating Deep Learning Assisted Automated Aquaculture Net Pens Inspection Using ROV Abstract: In marine aquaculture, inspecting sea cages is an essential activity for managing both the facilities' environmental impact and the quality of the fish development process. Fish escape from fish farms into the open se...	[]	Train
21,186	4	Title: DNN-Defender: An in-DRAM Deep Neural Network Defense Mechanism for Adversarial Weight Attack Abstract: With deep learning deployed in many security-sensitive areas, machine learning security is becoming progressively important. Recent studies demonstrate attackers can exploit system-level techniques exploiting t...	[ 7035, 34174 ]	Train
21,187	30	Title: kNN-BOX: A Unified Framework for Nearest Neighbor Generation Abstract: Augmenting the base neural model with a token-level symbolic datastore is a novel generation paradigm and has achieved promising results in machine translation (MT). In this paper, we introduce a unified framework kNN-BOX, which enables quick...	[]	Validation
21,188	24	Title: LearnedSort as a learning-augmented SampleSort: Analysis and Parallelization Abstract: This work analyzes and parallelizes LearnedSort, the novel algorithm that sorts using machine learning models based on the cumulative distribution function. LearnedSort is analyzed under the lens of algorithms with predictions...	[ 1827 ]	Train
21,189	30	Title: Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification Abstract: To make robots accessible to a broad audience, it is critical to endow them with the ability to take universal modes of communication, like commands given in natural language, and extract a con...	[ 8138, 22115 ]	Test
21,190	30	Title: Preference Ranking Optimization for Human Alignment Abstract: Large language models (LLMs) often contain misleading content, emphasizing the need to align them with human values to ensure secur AI systems. Reinforcement learning from human feedback (RLHF) has been employed to achieve this alignment by combining ...	[ 17153, 13700, 16911, 34963, 25751, 13345, 9385, 25772, 5041, 26673, 10163, 17076, 6328, 9403, 1595, 29115, 10303, 33220, 13510, 13257, 43602, 19671, 23898, 40155, 35445, 24316, 10749, 3967 ]	Test
21,191	27	Title: Risk-Sensitive Extended Kalman Filter Abstract: In robotics, designing robust algorithms in the face of estimation uncertainty is a challenging task. Indeed, controllers often do not consider the estimation uncertainty and only rely on the most likely estimated state. Consequently, sudden changes in the environm...	[]	Train
21,192	16	Title: Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples Abstract: Referring video object segmentation (RVOS), as a supervised learning task, relies on sufficient annotated data for a given scene. However, in more realistic scenarios, only minimal annotations are available ...	[]	Train
21,193	16	Title: Unified Single-Stage Transformer Network for Efficient RGB-T Tracking Abstract: Most existing RGB-T tracking networks extract modality features in a separate manner, which lacks interaction and mutual guidance between modalities. This limits the network's ability to adapt to the diverse dual-modality appearances...	[ 46154 ]	Validation
21,194	27	Title: Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction Abstract: Despite the significant research efforts on trajectory prediction for automated driving, limited work exists on assessing the prediction reliability. To address this limitation we propose an approach that covers tw...	[ 5763, 23599 ]	Test
21,195	24	Title: Neural Memory Decoding with EEG Data and Representation Learning Abstract: We describe a method for the neural decoding of memory from EEG data. Using this method, a concept being recalled can be identified from an EEG trace with an average top-1 accuracy of about 78.4% (chance 4%). The method employs deep repre...	[]	Train
21,196	16	Title: AG3D: Learning to Generate 3D Avatars from 2D Image Collections Abstract: While progress in 2D generative models of human appearance has been rapid, many applications require 3D avatars that can be animated and rendered. Unfortunately, most existing methods for learning generative models of 3D humans with divers...	[ 32384, 19434, 26941 ]	Train
21,197	16	Title: DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection Abstract: In this paper, we present a simple yet effective semi-supervised 3D object detector named DDS3D. Our main contributions have two-fold. On the one hand, different from previous works using Non-Maximal Suppression (...	[ 30489, 45579, 18013, 2861 ]	Train
21,198	27	Title: Unsupervised Active Visual Search with Monte Carlo planning under Uncertain Detections Abstract: We propose a solution for Active Visual Search of objects in an environment, whose 2D floor map is the only known information. Our solution has three key features that make it more plausible and robust to detector fa...	[ 29681, 8562 ]	Test
21,199	23	Title: Feature Map Testing for Deep Neural Networks Abstract: Due to the widespread application of deep neural networks~(DNNs) in safety-critical tasks, deep learning testing has drawn increasing attention. During the testing process, test cases that have been fuzzed or selected using test metrics are fed into the mode...	[]	Test
21,200	15	Title: NetGAP: A Graph-Grammar approach for concept design of networked platforms with extra-functional requirements Abstract: During the concept design of complex networked systems, concept developers have to assure that the choice of hardware modules and the topology of the target platform will provide adequate resou...	[]	Train
21,201	24	Title: Refining the Optimization Target for Automatic Univariate Time Series Anomaly Detection in Monitoring Services Abstract: Time series anomaly detection is crucial for industrial monitoring services that handle a large volume of data, aiming to ensure reliability and optimize system performance. Existing methods o...	[]	Train
21,202	36	Title: Learning coordination through new actions Abstract: We provide a novel approach to achieving a desired outcome in a coordination game: the original 2x2 game is embedded in a 2x3 game where one of the players may use a third action. For a large set of payoff values only one of the Nash equilibria of the original ...	[]	Validation
21,203	24	Title: Controllable Neural Symbolic Regression Abstract: In symbolic regression, the goal is to find an analytical expression that accurately fits experimental data with the minimal use of mathematical symbols such as operators, variables, and constants. However, the combinatorial space of possible expressions can make...	[]	Test
21,204	27	Title: Greedy Heuristics Adapted for the Multi-commodity Pickup and Delivery Traveling Salesman Problem Abstract: The Multi-Commodity One-to-One Pickup and Delivery Traveling Salesman Problem finds the optimal tour that transports a set of unique commodities from their pickup to delivery locations, while never exceedin...	[ 10625 ]	Train
21,205	30	Title: How to enumerate trees from a context-free grammar Abstract: I present a simple algorithm for enumerating the trees generated by a Context Free Grammar (CFG). The algorithm uses a pairing function to form a bijection between CFG derivations and natural numbers, so that trees can be uniquely decoded from counting...	[]	Train
21,206	16	Title: Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation Abstract: One of the mainstream schemes for 2D human pose estimation (HPE) is learning keypoints heatmaps by a neural network. Existing methods typically improve the quality of heatmaps by customized architectures, such as high-resolution rep...	[ 33218, 3362 ]	Test
21,207	16	Title: What Can Simple Arithmetic Operations Do for Temporal Modeling? Abstract: Temporal modeling plays a crucial role in understanding video content. To tackle this problem, previous studies built complicated temporal relations through time sequence thanks to the development of computationally powerful devices. In th...	[ 23285, 30914, 15467, 12221 ]	Train
21,208	24	Title: Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index Abstract: Safety goes first. Meeting and maintaining industry safety standards for robustness of artificial intelligence (AI) and machine learning (ML) models require continuou...	[]	Test
21,209	10	Title: Arithmetic with Language Models: from Memorization to Computation Abstract: A better understanding of the emergent computation and problem-solving capabilities of recent large language models is of paramount importance to further improve them and broaden their applicability. This work investigates how a language...	[ 34981, 13510 ]	Train
21,210	24	Title: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces Abstract: Recent advances have extended the scope of Bayesian optimization (BO) to expensive-to-evaluate black-box functions with dozens of dimensions, aspiring to unlock impactful applications, for example, in the life science...	[ 39141, 8914, 13797, 6382 ]	Train
21,211	30	Title: A Distributed Automatic Domain-Specific Multi-Word Term Recognition Architecture using Spark Ecosystem Abstract: Automatic Term Recognition is used to extract domain-specific terms that belong to a given domain. In order to be accurate, these corpus and language-dependent methods require large volumes of textual...	[]	Train
21,212	16	Title: Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions Abstract: What constitutes the"vibe"of a particular scene? What should one find in"a busy, dirty city street","an idyllic countryside", or"a crime scene in an abandoned living room"? The translation from abstract scene descri...	[ 43327, 42666, 5580, 44726, 34167, 7993, 10527 ]	Test
21,213	16	Title: ThermRad: A Multi-modal Dataset for Robust 3D Object Detection under Challenging Conditions Abstract: Robust 3D object detection in extreme weather and illumination conditions is a challenging task. While radars and thermal cameras are known for their resilience to these conditions, few studies have been conduct...	[ 45083, 46027 ]	Train
21,214	30	Title: Abugida Normalizer and Parser for Unicode texts Abstract: This paper proposes two libraries to address common and uncommon issues with Unicode-based writing schemes for Indic languages. The first is a normalizer that corrects inconsistencies caused by the encoding scheme https://pypi.org/project/bnunicodenormali...	[]	Validation
21,215	24	Title: Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition Abstract: Human activity recognition (HAR) in wearable computing is typically based on direct processing of sensor data. Sensor readings are translated into representations, either derived through dedica...	[ 32856 ]	Validation
21,216	25	Title: A Multi-Stage Triple-Path Method for Speech Separation in Noisy and Reverberant Environments Abstract: In noisy and reverberant environments, the performance of deep learning-based speech separation methods drops dramatically because previous methods are not designed and optimized for such situations. To address...	[]	Train
21,217	10	Title: Bridging the Transparency Gap: What Can Explainable AI Learn From the AI Act? Abstract: The European Union has proposed the Artificial Intelligence Act which introduces detailed requirements of transparency for AI systems. Many of these requirements can be addressed by the field of explainable AI (XAI), however,...	[ 5872, 34343 ]	Validation
21,218	27	Title: Informed Guided Rapidly-exploring Random Trees*-Connect for Path Planning of Walking Robots Abstract: In this paper, we deal with the problem of full-body path planning for walking robots. The state of walking robots is defined in multi-dimensional space. Path planning requires defining the path of the feet and ...	[ 17710 ]	Validation
21,219	16	Title: A Closer Look at Geometric Temporal Dynamics for Face Anti-Spoofing Abstract: Face anti-spoofing (FAS) is indispensable for a face recognition system. Many texture-driven countermeasures were developed against presentation attacks (PAs), but the performance against unseen domains or unseen spoofing types is stil...	[]	Train
21,220	16	Title: Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization Abstract: Deep Neural Networks (DNNs) have recently made significant progress in many fields. However, studies have shown that DNNs are vulnerable to adversarial examples, where imperceptible perturbation...	[]	Train
21,221	30	Title: Data Augmentation for Neural NLP Abstract: Data scarcity is a problem that occurs in languages and tasks where we do not have large amounts of labeled data but want to use state-of-the-art models. Such models are often deep learning models that require a significant amount of data to train. Acquiring data for va...	[]	Train
21,222	24	Title: Speech Privacy Leakage from Shared Gradients in Distributed Learning Abstract: Distributed machine learning paradigms, such as federated learning, have been recently adopted in many privacy-critical applications for speech analysis. However, such frameworks are vulnerable to privacy leakage attacks from shared g...	[]	Train
21,223	24	Title: Comparing Long Short-Term Memory (LSTM) and Bidirectional LSTM Deep Neural Networks for power consumption prediction Abstract: Electric consumption prediction methods are investigated for many reasons such as decision-making related to energy efficiency as well as for anticipating demand in the energy market dyn...	[]	Validation
21,224	3	Title: Optimizing National Security Strategies through LLM-Driven Artificial Intelligence Integration Abstract: As artificial intelligence and machine learning continue to advance, we must understand their strategic importance in national security. This paper focuses on unique AI applications in the military, emphasize...	[]	Train
21,225	8	Title: Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading Abstract: Mobile edge computing (MEC) is a promising paradigm to meet the quality of service (QoS) requirements of latency-sensitive IoT applications. However, attackers may eavesdrop on the offloading decisions to infer th...	[]	Train
21,226	16	Title: Coincidental Generation Abstract: Generative A.I. models have emerged as versatile tools across diverse industries, with applications in privacy-preserving data sharing, computational art, personalization of products and services, and immersive entertainment. Here, we introduce a new privacy concern in the adopt...	[]	Train
21,227	30	Title: MaNLP@SMM4H’22: BERT for Classification of Twitter Posts Abstract: The reported work is our straightforward approach for the shared task “Classification of tweets self-reporting age” organized by the “Social Media Mining for Health Applications (SMM4H)” workshop. This literature describes the approach that was u...	[]	Test
21,228	24	Title: Federated TD Learning Over Finite-Rate Erasure Channels: Linear Speedup Under Markovian Sampling Abstract: Federated learning (FL) has recently gained much attention due to its effectiveness in speeding up supervised learning tasks under communication and privacy constraints. However, whether similar speedups ca...	[ 153, 28277, 4335 ]	Train
21,229	16	Title: Interpretable Visual Question Answering Referring to Outside Knowledge Abstract: We present a novel multimodal interpretable VQA model that can answer the question more accurately and generate diverse explanations. Although researchers have proposed several methods that can generate human-readable and fine-grain...	[ 10624 ]	Train
21,230	24	Title: Hyper-Laplacian Regularized Concept Factorization in Low-rank Tensor Space for Multi-view Clustering Abstract: Tensor-oriented multi-view subspace clustering has achieved significant strides in assessing high-order correlations and improving clustering analysis of multi-view data. Nevertheless, most of existing ...	[]	Test
21,231	27	Title: Social Cue Analysis using Transfer Entropy Abstract: Robots that work close to humans need to understand and use social cues to act in a socially acceptable manner. Social cues are a form of communication (i.e., information flow) between people. In this paper, a framework is introduced to detect and analyse soci...	[]	Train
21,232	16	Title: SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation Abstract: Our goal is to synthesize 3D human motions given textual inputs describing simultaneous actions, for example 'waving hand' while 'walking' at the same time. We refer to generating such simultaneous movements as performing ...	[ 17178, 1131 ]	Train
21,233	23	Title: In Pursuit of Unification of Conceptual Models: Sets as Machines Abstract: Conceptual models as representations of real-world systems are based on diverse techniques in various disciplines but lack a framework that provides multidisciplinary ontological understanding of real-world phenomena. Concurrently, system...	[ 29871 ]	Train
21,234	16	Title: Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering Abstract: We study visual question answering in a setting where the answer has to be mined from a pool of relevant and irrelevant images given as a context. For such a setting, a model must first retrieve relevant images from ...	[]	Validation
21,235	24	Title: Dynamic Graph Representation Learning for Depression Screening with Transformer Abstract: Early detection of mental disorder is crucial as it enables prompt intervention and treatment, which can greatly improve outcomes for individuals suffering from debilitating mental affliction. The recent proliferation of me...	[]	Train
21,236	16	Title: Urban GeoBIM construction by integrating semantic LiDAR point clouds with as-designed BIM models Abstract: Developments in three-dimensional real worlds promote the integration of geoinformation and building information models (BIM) known as GeoBIM in urban construction. Light detection and ranging (LiDAR) integ...	[]	Train
21,237	16	Title: InstantAvatar: Efficient 3D Head Reconstruction via Surface Rendering Abstract: Recent advances in full-head reconstruction have been obtained by optimizing a neural field through differentiable surface or volume rendering to represent a single scene. While these techniques achieve an unprecedented accuracy, the...	[ 8004 ]	Train
21,238	16	Title: HollowNeRF: Pruning Hashgrid-Based NeRFs with Trainable Collision Mitigation Abstract: Neural radiance fields (NeRF) have garnered significant attention, with recent works such as Instant-NGP accelerating NeRF training and evaluation through a combination of hashgrid-based positional encoding and neural networks...	[]	Validation
21,239	16	Title: Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification Abstract: The difficulty of the fine-grained image classification mainly comes from a shared overall appearance across classes. Thus, recognizing discriminative details, such as eyes and beaks for birds, is a key in the task. However, this ...	[ 31990 ]	Validation
21,240	30	Title: Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Extra Input Abstract: Human infant learning happens during exploration of the environment, by interaction with objects, and by listening to and repeating utterances casually, which is analogous to unsupervised learning. O...	[]	Train
21,241	16	Title: Semantic Segmentation on 3D Point Clouds with High Density Variations Abstract: LiDAR scanning for surveying applications acquire measurements over wide areas and long distances, which produces large-scale 3D point clouds with significant local density variations. While existing 3D semantic segmentation models c...	[ 35754 ]	Train
21,242	17	Title: Let's Resonate: How to Elicit Improvisation and Letting Go in Interactive Digital Art Abstract: Participatory art allows for the spectator to be a participant or a viewer able to engage actively with interactive art. Real-time technologies offer new ways to create participative artworks. We hereby investigate ho...	[]	Validation
21,243	24	Title: Segmenting mechanically heterogeneous domains via unsupervised learning Abstract: From biological organs to soft robotics, highly deformable materials are essential components of natural and engineered systems. These highly deformable materials can have heterogeneous material properties, and can experience heter...	[ 20384 ]	Test
21,244	16	Title: YOWOv2: A Stronger yet Efficient Multi-level Detection Framework for Real-time Spatio-temporal Action Detection Abstract: Designing a real-time framework for the spatio-temporal action detection task is still a challenge. In this paper, we propose a novel real-time action detection framework, YOWOv2. In this new...	[]	Train
21,245	5	Title: Many Cores, Many Models: GPU Programming Model vs. Vendor Compatibility Overview Abstract: In recent history, GPUs became a key driver of compute performance in HPC. With the installation of the Frontier supercomputer, they became the enablers of the Exascale era; further largest-scale installations are in progr...	[]	Train
21,246	16	Title: Ethosight: A Reasoning-Guided Iterative Learning System for Nuanced Perception based on Joint-Embedding&Contextual Label Affinity Abstract: Traditional computer vision models often necessitate extensive data acquisition, annotation, and validation. These models frequently struggle in real-world applications, res...	[ 23545 ]	Train
21,247	24	Title: VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference Abstract: Causal inference plays a vital role in diverse domains like epidemiology, healthcare, and economics. De-confounding and counterfactual prediction in observational data has emerged as a prominent concern in causal inferen...	[]	Train
21,248	8	Title: Optimal Endorsement for Network-Wide Distributed Blockchains Abstract: Blockchains offer trust and immutability in nontrusted environments, but most are not fast enough for latency-sensitive applications. Hyperledger fabric (HF) is a common enterprise-level platform that is being offered as blockchain-as-a-servi...	[]	Train
21,249	24	Title: Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison Abstract: Evidence Networks can enable Bayesian model comparison when state-of-the-art methods (e.g. nested sampling) fail and even when likelihoods or priors are intractable or unknown. Bayesian model comparison, i.e. the com...	[]	Validation
21,250	24	Title: Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment Abstract: Eosinophilic esophagitis (EoE) is a chronic, food antigen-driven, allergic inflammatory condition of the esophagus associated with elevated esophageal eosinophils. EoE is a top cause of chr...	[]	Train
21,251	31	Title: Scalable Neural Contextual Bandit for Recommender Systems Abstract: High-quality recommender systems ought to deliver both innovative and relevant content through effective and exploratory interactions with users. Yet, supervised learning-based neural networks, which form the backbone of many existing recommende...	[ 5091 ]	Train
21,252	10	Title: Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations Abstract: Large Language Models (LLMs) have revolutionized natural language processing tasks, demonstrating their exceptional capabilities in various domains. However, their potential for behavior graph understanding in job...	[ 4610, 45898, 20432, 24503, 16179, 39639, 3643 ]	Train
21,253	27	Title: ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment Abstract: We present ClothesNet: a large-scale dataset of 3D clothes objects with information-rich annotations. Our dataset consists of around 4400 models covering 11 categories annotated with clothes features, boundar...	[]	Train
21,254	30	Title: Conformer LLMs - Convolution Augmented Large Language Models Abstract: This work builds together two popular blocks of neural architecture, namely convolutional layers and Transformers, for large language models (LLMs). Non-causal conformers are used ubiquitously in automatic speech recognition. This work aims t...	[ 13564 ]	Test
21,255	34	Title: Fully Dynamic Matching: (2-√2)-Approximation in Polylog Update Time Abstract: We study maximum matchings in fully dynamic graphs, which are graphs that undergo both edge insertions and deletions. Our focus is on algorithms that estimate the size of maximum matching after each update while spending a small time. ...	[]	Train
21,256	31	Title: Att-KGCN: Tourist Attractions Recommendation System by using Attention mechanism and Knowledge Graph Convolution Network Abstract: The recommendation algorithm based on knowledge graphs is at a relatively mature stage. However, there are still some problems in the recommendation of specific areas. For example, i...	[]	Validation
21,257	24	Title: A Causal Framework to Unify Common Domain Generalization Approaches Abstract: Domain generalization (DG) is about learning models that generalize well to new domains that are related to, but different from, the training domain(s). It is a fundamental problem in machine learning and has attracted much attention i...	[ 3040 ]	Train
21,258	16	Title: MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion Abstract: Reconstructing visual stimuli from measured functional magnetic resonance imaging (fMRI) has been a meaningful and challenging task. Previous studies have successfully achieved reconstructions...	[ 10813 ]	Train
21,259	16	Title: Explore the Power of Synthetic Data on Few-shot Object Detection Abstract: Few-shot object detection (FSOD) aims to expand an object detector for novel categories given only a few instances for training. The few training samples restrict the performance of FSOD model. Recent text-to-image generation models have ...	[ 5186, 31443, 19066 ]	Validation
21,260	24	Title: Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models Abstract: Image-based precision medicine aims to personalize treatment decisions based on an individual's unique imaging features so as to improve their clinical outcome. Machine learning frameworks that integrate uncertainty estimatio...	[]	Train
21,261	34	Title: Fully dynamic clustering and diversity maximization in doubling metrics Abstract: We present approximation algorithms for some variants of center-based clustering and related problems in the fully dynamic setting, where the pointset evolves through an arbitrary sequence of insertions and deletions. Specifically,...	[ 32934, 29839 ]	Validation
21,262	24	Title: NESS: Node Embeddings from Static SubGraphs Abstract: We present a framework for learning Node Embeddings from Static Subgraphs (NESS) using a graph autoencoder (GAE) in a transductive setting. NESS is based on two key ideas: i) Partitioning the training graph to multiple static, sparse subgraphs with non-overla...	[]	Test
21,263	10	Title: Learning Search-Space Specific Heuristics Using Neural Networks Abstract: We propose and evaluate a system which learns a neuralnetwork heuristic function for forward search-based, satisficing classical planning. Our system learns distance-to-goal estimators from scratch, given a single PDDL training instance. T...	[ 27486 ]	Test
21,264	16	Title: Learning Modulated Transformation in GANs Abstract: The success of style-based generators largely benefits from style modulation, which helps take care of the cross-instance variation within data. However, the instance-wise stochasticity is typically introduced via regular convolution, where kernels interact wit...	[ 30402, 3251, 19652, 20435 ]	Validation
21,265	24	Title: Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis Abstract: Machine learning (ML) based approaches are increasingly being used in a number of applications with societal impact. Training ML models often require vast amounts of labeled data, and crowdsourcing is a dominant paradigm for obta...	[]	Validation
21,266	30	Title: Composition and Deformance: Measuring Imageability with a Text-to-Image Model Abstract: Although psycholinguists and psychologists have long studied the tendency of linguistic strings to evoke mental images in hearers or readers, most computational studies have applied this concept of imageability only to isolat...	[]	Test
21,267	16	Title: Development and deployment of a big data pipeline for field-based high-throughput cotton phenotyping data Abstract: nan	[]	Test
21,268	10	Title: COVID-19 Spreading Prediction and Impact Analysis by Using Artificial Intelligence for Sustainable Global Health Assessment Abstract: nan	[]	Train
21,269	5	Title: Custom 8-bit floating point value format for reducing shared memory bank conflict in approximate nearest neighbor search Abstract: The k-nearest neighbor search is used in various applications such as machine learning, computer vision, database search, and information retrieval. While the computational cost of t...	[]	Train
21,270	6	Title: A framework for smart homes for elderly people using Labview Abstract: This paper deals with home automation systems that are essential for safe and independent living of elderly people. These individuals must be able to perform their Activities of Daily Living (ADLs) without help from caretakers. They must be c...	[]	Train
21,271	10	Title: An Algorithm and Complexity Results for Causal Unit Selection Abstract: The unit selection problem aims to identify objects, called units, that are most likely to exhibit a desired mode of behavior when subjected to stimuli (e.g., customers who are about to churn but would change their mind if encouraged). Unit ...	[]	Test
21,272	15	Title: FourierPIM: High-Throughput In-Memory Fast Fourier Transform and Polynomial Multiplication Abstract: nan	[ 3195 ]	Test
21,273	25	Title: Multi-Genre Music Transformer - Composing Full Length Musical Piece Abstract: In the task of generating music, the art factor plays a big role and is a great challenge for AI. Previous work involving adversarial training to produce new music pieces and modeling the compatibility of variety in music (beats, tempo...	[]	Test
21,274	16	Title: Efficient Flow-Guided Multi-frame De-fencing Abstract: Taking photographs "in-the-wild" is often hindered by fence obstructions that stand between the camera user and the scene of interest, and which are hard or impossible to avoid. De-fencing is the algorithmic process of automatically removing such obstruction...	[]	Train
21,275	6	Title: TimePool: Visually Answer "Which and When" Questions On Univariate Time Series Abstract: When exploring time series datasets, analysts often pose"which and when"questions. For example, with world life expectancy data over one hundred years, they may inquire about the top 10 countries in life expectancy and the t...	[]	Train
21,276	16	Title: Multi-scale Fusion Fault Diagnosis Method Based on Two-Dimensionaliztion Sequence in Complex Scenarios Abstract: Rolling bearings are critical components in rotating machinery, and their faults can cause severe damage. Early detection of abnormalities is crucial to prevent catastrophic accidents. Traditional and...	[]	Train
21,277	24	Title: Do We Really Need Complicated Model Architectures For Temporal Networks? Abstract: Recurrent neural network (RNN) and self-attention mechanism (SAM) are the de facto methods to extract spatial-temporal information for temporal graph learning. Interestingly, we found that although both RNN and SAM could lead to a...	[ 42048, 4933, 33928, 11149, 47, 25533, 26366 ]	Test

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