node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
43,478 | 16 | Title: LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models
Abstract: Creating graphic layouts is a fundamental step in graphic designs. In this work, we present a novel generative model named LayoutDiffusion for automatic layout generation. As layout is typically represented ... | [
224,
42100,
38551
] | Train |
43,479 | 24 | Title: On Achieving Optimal Adversarial Test Error
Abstract: We first elucidate various fundamental properties of optimal adversarial predictors: the structure of optimal adversarial convex predictors in terms of optimal adversarial zero-one predictors, bounds relating the adversarial convex loss to the adversarial zer... | [
15228
] | Validation |
43,480 | 30 | Title: Simple is Better and Large is Not Enough: Towards Ensembling of Foundational Language Models
Abstract: Foundational Language Models (FLMs) have advanced natural language processing (NLP) research. Current researchers are developing larger FLMs (e.g., XLNet, T5) to enable contextualized language representation, c... | [] | Train |
43,481 | 27 | Title: 3D Spectral Domain Registration-Based Visual Servoing
Abstract: This paper presents a spectral domain registration-based visual servoing scheme that works on 3D point clouds. Specifically, we propose a 3D model/point cloud alignment method, which works by finding a global transformation between reference and tar... | [
28527
] | Train |
43,482 | 16 | Title: On the Matrix Form of the Quaternion Fourier Transform and Quaternion Convolution
Abstract: We study matrix forms of quaternionic versions of the Fourier Transform and Convolution operations. Quaternions offer a powerful representation unit, however they are related to difficulties in their use that stem foremos... | [] | Validation |
43,483 | 3 | Title: Web3: The Next Internet Revolution
Abstract: Since the first appearance of the World Wide Web, people more rely on the Web for their cyber social activities. The second phase of World Wide Web, named Web 2.0, has been extensively attracting worldwide people that participate in building and enjoying the virtual w... | [
10124,
20031
] | Test |
43,484 | 30 | Title: Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference!
Abstract: Diffusion models have been successfully adapted to text generation tasks by mapping the discrete text into the continuous space. However, there exist nonnegligible gaps between training a... | [
23120
] | Train |
43,485 | 6 | Title: Data Player: Automatic Generation of Data Videos with Narration-Animation Interplay
Abstract: Data visualizations and narratives are often integrated to convey data stories effectively. Among various data storytelling formats, data videos have been garnering increasing attention. These videos provide an intuitiv... | [
41267
] | Train |
43,486 | 16 | Title: MotionBEV: Attention-Aware Online LiDAR Moving Object Segmentation with Bird's Eye View based Appearance and Motion Features
Abstract: Identifying moving objects is an essential capability for autonomous systems, as it provides critical information for pose estimation, navigation, collision avoidance, and static... | [
37101
] | Train |
43,487 | 27 | Title: One-shot Visual Imitation via Attributed Waypoints and Demonstration Augmentation
Abstract: In this paper, we analyze the behavior of existing techniques and design new solutions for the problem of one-shot visual imitation. In this setting, an agent must solve a novel instance of a novel task given just a singl... | [] | Validation |
43,488 | 24 | Title: GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
Abstract: With a long history of traditional Graph Anomaly Detection (GAD) algorithms and recently popular Graph Neural Networks (GNNs), it is still not clear (1) how they perform under a standard comprehensive setting, (2) whether GNNs out... | [
10860,
23646
] | Validation |
43,489 | 3 | Title: Who are the users of ChatGPT? Implications for the digital divide from web tracking data
Abstract: A major challenge of our time is reducing disparities in access to and effective use of digital technologies, with recent discussions highlighting the role of AI in exacerbating the digital divide. We examine user ... | [
8011
] | Train |
43,490 | 4 | Title: HyperGo: Probability-based Directed Hybrid Fuzzing
Abstract: Directed grey-box fuzzing (DGF) is a target-guided fuzzing intended for testing specific targets (e.g., the potential buggy code). Despite numerous techniques proposed to enhance directedness, the existing DGF techniques still face challenges, such as ... | [] | Train |
43,491 | 6 | Title: The Impact of Expertise in the Loop for Exploring Machine Rationality
Abstract: Human-in-the-loop optimization utilizes human expertise to guide machine optimizers iteratively and search for an optimal solution in a solution space. While prior empirical studies mainly investigated novices, we analyzed the impact... | [] | Validation |
43,492 | 16 | Title: Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology
Abstract: Machine learning algorithms have the potential to improve patient outcomes in digital pathology. However, generalization of these tools is currently limited by sensitivity to variations in tissue preparat... | [] | Test |
43,493 | 8 | Title: GPSMirror: Expanding Accurate GPS Positioning to Shadowed and Indoor Regions with Backscatter
Abstract: Despite the prevalence of GPS services, they still suffer from intermittent positioning with poor accuracy in partially shadowed regions like urban canyons, flyover shadows, and factories' indoor areas. Existi... | [] | Train |
43,494 | 16 | Title: M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization
Abstract: Medical vision-language models enable co-learning and integrating features from medical imaging and clinical text. However, these models are not easy to train and the latent representation sp... | [
27817,
44199,
2638,
8967
] | Train |
43,495 | 31 | Title: MultiVENT: Multilingual Videos of Events with Aligned Natural Text
Abstract: Everyday news coverage has shifted from traditional broadcasts towards a wide range of presentation formats such as first-hand, unedited video footage. Datasets that reflect the diverse array of multimodal, multilingual news sources ava... | [
5361,
15106,
27853,
3367
] | Train |
43,496 | 24 | Title: Protein Design with Guided Discrete Diffusion
Abstract: A popular approach to protein design is to combine a generative model with a discriminative model for conditional sampling. The generative model samples plausible sequences while the discriminative model guides a search for sequences with high fitness. Give... | [
43201,
12362,
467,
28532,
43955,
4089
] | Train |
43,497 | 16 | Title: Modeling Entities as Semantic Points for Visual Information Extraction in the Wild
Abstract: Recently, Visual Information Extraction (VIE) has been becoming increasingly important in both the academia and industry, due to the wide range of real-world applications. Previously, numerous works have been proposed to... | [
2207
] | Validation |
43,498 | 24 | Title: Incomplete Multi-view Clustering via Diffusion Completion
Abstract: Incomplete multi-view clustering is a challenging and non-trivial task to provide effective data analysis for large amounts of unlabeled data in the real world. All incomplete multi-view clustering methods need to address the problem of how to r... | [
23241
] | Train |
43,499 | 26 | Title: Influence Robustness of Nodes in Multiplex Networks against Attacks
Abstract: Recent advances have focused mainly on the resilience of the monoplex network in attacks targeting random nodes or links, as well as the robustness of the network against cascading attacks. However, very little research has been done t... | [] | Train |
43,500 | 24 | Title: LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels
Abstract: In real-world applications, perfect labels are rarely available, making it challenging to develop robust machine learning algorithms that can handle noisy labels. Recent methods have focused on filtering noise based on the discrep... | [] | Validation |
43,501 | 16 | Title: Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models
Abstract: The recent progress of diffusion models in terms of image quality has led to a major shift in research related to generative models. Current approaches often fine-tune pre-trained foundation models using domain-spe... | [] | Validation |
43,502 | 27 | Title: Infrastructure-based End-to-End Learning and Prevention of Driver Failure
Abstract: Intelligent intersection managers can improve safety by detecting dangerous drivers or failure modes in autonomous vehicles, warning oncoming vehicles as they approach an intersection. In this work, we present FailureNet, a recur... | [] | Validation |
43,503 | 16 | Title: Level Up the Deepfake Detection: a Method to Effectively Discriminate Images Generated by GAN Architectures and Diffusion Models
Abstract: The image deepfake detection task has been greatly addressed by the scientific community to discriminate real images from those generated by Artificial Intelligence (AI) mode... | [
1688,
8308
] | Validation |
43,504 | 30 | Title: An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM
Abstract: Natural Language Processing (NLP) has emerged as a crucial technology for understanding and generating human language, playing an essential role in tasks such as machine translation, sentiment analysis, an... | [
26048
] | Train |
43,505 | 24 | Title: Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally
Abstract: We establish matching upper and lower generalization error bounds for mini-batch Gradient Descent (GD) training with either deterministic or stochastic, data-independent, but otherwise arbitrary batch selection rules. We consider... | [
20056,
2972,
9430
] | Test |
43,506 | 6 | Title: Designing Data: Proactive Data Collection and Iteration for Machine Learning
Abstract: Lack of diversity in data collection has caused significant failures in machine learning (ML) applications. While ML developers perform post-collection interventions, these are time intensive and rarely comprehensive. Thus, ne... | [] | Test |
43,507 | 25 | Title: Vocal Tract Area Estimation by Gradient Descent
Abstract: Articulatory features can provide interpretable and flexible controls for the synthesis of human vocalizations by allowing the user to directly modify parameters like vocal strain or lip position. To make this manipulation through resynthesis possible, we... | [
19170
] | Train |
43,508 | 24 | Title: Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy
Abstract: In recent years, diffusion models have achieved tremendous success in the field of image generation, becoming the stateof-the-art technology for AI-based image processing applications. Despite the numerous benefits brought ... | [
37537,
34788,
12888,
45104,
4978,
7282,
15061,
1688,
41657,
3548
] | Train |
43,509 | 10 | Title: HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline
Abstract: Industrial SAT formula generation is a critical yet challenging task. Existing SAT generation approaches can hardly simultaneously capture the global structural properties and maintain... | [] | Train |
43,510 | 35 | Title: Virtualization of Tiny Embedded Systems with a robust real-time capable and extensible Stack Virtual Machine REXAVM supporting Material-integrated Intelligent Systems and Tiny Machine Learning
Abstract: In the past decades, there has been a significant increase in sensor density and sensor deployment, driven by ... | [
7567
] | Train |
43,511 | 24 | Title: DClEVerNet: Deep Combinatorial Learning for Efficient EV Charging Scheduling in Large-scale Networked Facilities
Abstract: With the electrification of transportation, the rising uptake of electric vehicles (EVs) might stress distribution networks significantly, leaving their performance degraded and stability je... | [] | Train |
43,512 | 24 | Title: Application of Random Forest and Support Vector Machine for Investigation of Pressure Filtration Performance, a Zinc Plant Filter Cake Modeling
Abstract: The hydrometallurgical method of zinc production involves leaching zinc from ore and then separating the solid residue from the liquid solution by pressure fil... | [] | Test |
43,513 | 37 | Title: DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data
Abstract: Data preprocessing is a crucial step in the machine learning process that transforms raw data into a more usable format for downstream ML models. However, it can be costly and time-consuming, often requiring the ... | [] | Train |
43,514 | 4 | Title: ACM with Overlapping Partitions: Implementation and Periodicity Analysis
Abstract: The Arnold Cat Map (ACM) is a popular chaotic map used in image encryption. Chaotic maps are known for their sensitivity to initial conditions and their ability to mix, or rearrange, pixels. However, ACM is periodic, and the perio... | [] | Validation |
43,515 | 9 | Title: Deterministic and Strongly Nondeterministic Decision Trees for Decision Tables from Closed Classes
Abstract: In this paper, we consider classes of decision tables with 0-1-decisions closed relative to removal of attributes (columns) and changing decisions assigned to rows. For tables from an arbitrary closed cla... | [
12389
] | Train |
43,516 | 28 | Title: Binary convolutional codes with optimal column distances
Abstract: There exists a large literature of construction of convolutional codes with maximal or near maximal free distance. Much less is known about constructions of convolutional codes having optimal or near optimal column distances. In this paper, a new... | [] | Validation |
43,517 | 16 | Title: Cross-Stream Contrastive Learning for Self-Supervised Skeleton-Based Action Recognition
Abstract: nan | [] | Train |
43,518 | 37 | Title: A Polystore Architecture Using Knowledge Graphs to Support Queries on Heterogeneous Data Stores
Abstract: Modern applications commonly need to manage dataset types composed of heterogeneous data and schemas, making it difficult to access them in an integrated way. A single data store to manage heterogeneous data... | [] | Train |
43,519 | 2 | Title: Asynchronous Probabilistic Couplings in Higher-Order Separation Logic
Abstract: Probabilistic couplings are the foundation for many probabilistic relational program logics and arise when relating random sampling statements across two programs. In relational program logics, this manifests as dedicated coupling ru... | [] | Validation |
43,520 | 27 | Title: OASIS: Optimal Arrangements for Sensing in SLAM
Abstract: The number and arrangement of sensors on an autonomous mobile robot dramatically influence its perception capabilities. Ensuring that sensors are mounted in a manner that enables accurate detection, localization, and mapping is essential for the success o... | [] | Validation |
43,521 | 24 | Title: Enhancing Supply Chain Resilience: A Machine Learning Approach for Predicting Product Availability Dates Under Disruption
Abstract: The COVID 19 pandemic and ongoing political and regional conflicts have a highly detrimental impact on the global supply chain, causing significant delays in logistics operations an... | [] | Test |
43,522 | 28 | Title: Early-Stopped Technique for BCH Decoding Algorithm Under Tolerant Fault Probability
Abstract: In this paper, a technique for the Berlekamp-Massey(BM) algorithm is provided to reduce the latency of decoding and save decoding power by early termination or early-stopped checking. We investigate the consecutive zero... | [] | Validation |
43,523 | 31 | Title: Limits of Predictability in Top-N Recommendation
Abstract: Top-N recommendation aims to recommend each consumer a small set of N items from a large collection of items, and its accuracy is one of the most common indexes to evaluate the performance of a recommendation system. While a large number of algorithms ar... | [] | Train |
43,524 | 10 | Title: FedLogic: Interpretable Federated Multi-Domain Chain-of-Thought Prompt Selection for Large Language Models
Abstract: Leveraging ``chain-of-thought (CoT)'' reasoning to elicit rapid and precise responses from large language models (LLMs) is rapidly attracting research interest. A notable challenge here is how to ... | [] | Validation |
43,525 | 36 | Title: Strategic Play By Resource-Bounded Agents in Security Games
Abstract: Many studies have shown that humans are"predictably irrational": they do not act in a fully rational way, but their deviations from rational behavior are quite systematic. Our goal is to see the extent to which we can explain and justify these... | [] | Train |
43,526 | 16 | Title: Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation
Abstract: Significant progress has recently been made in creative applications of large pre-trained models for downstream tasks in 3D vision, such as text-to-shape generation. This motivates our investigation of how these pre-trained models can be used effe... | [
4643,
2860,
26396,
16678
] | Train |
43,527 | 16 | Title: Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color
Abstract: This paper strives to measure apparent skin color in computer vision, beyond a unidimensional scale on skin tone. In their seminal paper Gender Shades, Buolamwini and Gebru have shown how gender classification systems can be biased aga... | [
45609
] | Train |
43,528 | 28 | Title: Fast Gao-like Decoding of Horizontally Interleaved Linearized Reed-Solomon Codes
Abstract: Both horizontal interleaving as well as the sum-rank metric are currently attractive topics in the field of code-based cryptography, as they could mitigate the problem of large key sizes. In contrast to vertical interleavi... | [] | Validation |
43,529 | 16 | Title: Probabilistic 3d regression with projected huber distribution
Abstract: Estimating probability distributions which describe where an object is likely to be from camera data is a task with many applications. In this work we describe properties which we argue such methods should conform to. We also design a method... | [] | Train |
43,530 | 30 | Title: Data Selection for Language Models via Importance Resampling
Abstract: Selecting a suitable training dataset is crucial for both general-domain (e.g., GPT-3) and domain-specific (e.g., Codex) language models (LMs). We formalize this data selection problem as selecting a subset of a large raw unlabeled dataset to... | [
13665,
36667,
36611,
41576,
35085,
35955,
15129,
7131,
25021
] | Train |
43,531 | 8 | Title: Directional Antenna Based Scheduling Protocol for IoT Networks
Abstract: Scheduling and Channel Access at the MAC layer of the IoT network plays a pivotal role in enhancing the performance of IoT networks. State-of-the-art Omni-directional antenna based application data transmission has relatively less achievabl... | [] | Train |
43,532 | 16 | Title: Neural Lens Modeling
Abstract: Recent methods for 3D reconstruction and rendering increasingly benefit from end-to-end optimization of the entire image formation process. However, this approach is currently limited: effects of the optical hardware stack and in particular lenses are hard to model in a unified way... | [] | Train |
43,533 | 6 | Title: Cluster-Aware Grid Layout
Abstract: Grid visualizations are widely used in many applications to visually explain a set of data and their proximity relationships. However, existing layout methods face difficulties when dealing with the inherent cluster structures within the data. To address this issue, we propose... | [] | Validation |
43,534 | 17 | Title: CAstelet in Virtual reality for shadOw AVatars (CAVOAV)
Abstract: After an overview of the use of digital shadows in computing science research projects with cultural and social impacts and a focus on recent researches and insights on virtual theaters, this paper introduces a research mixing the manipulation of ... | [
1987
] | Train |
43,535 | 30 | Title: HunSum-1: an Abstractive Summarization Dataset for Hungarian
Abstract: We introduce HunSum-1: a dataset for Hungarian abstractive summarization, consisting of 1.14M news articles. The dataset is built by collecting, cleaning and deduplicating data from 9 major Hungarian news sites through CommonCrawl. Using this... | [] | Validation |
43,536 | 28 | Title: STAR-RIS-Aided Mobile Edge Computing: Computation Rate Maximization With Binary Amplitude Coefficients
Abstract: In this paper, simultaneously transmitting and reflecting (STAR) reconfigurable intelligent surface (RIS) is investigated in the multi-user mobile edge computing (MEC) system to improve the computatio... | [] | Train |
43,537 | 4 | Title: FederatedTrust: A Solution for Trustworthy Federated Learning
Abstract: The rapid expansion of the Internet of Things (IoT) and Edge Computing has presented challenges for centralized Machine and Deep Learning (ML/DL) methods due to the presence of distributed data silos that hold sensitive information. To addre... | [] | Validation |
43,538 | 28 | Title: Joint Optimization of IRS Deployment and Passive Beamforming to Enhance the Received Power
Abstract: Intelligent reflecting surface (IRS) has recently emerged as a promising technology for beyond fifth-generation (B5G) and 6G networks conceived from metamaterials that smartly tunes the signal reflections via a l... | [] | Test |
43,539 | 24 | Title: UNREAL: Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification
Abstract: Extremely skewed label distributions are common in real-world node classification tasks. If not dealt with appropriately, it significantly hurts the performance of GNNs in minority classes. Due to its practical im... | [
3366
] | Train |
43,540 | 16 | Title: mAedesID: Android Application for Aedes Mosquito Species Identification using Convolutional Neural Network
Abstract: Vector-Borne Disease (VBD) is an infectious disease transmitted through the pathogenic female Aedes mosquito to humans and animals. It is important to control dengue disease by reducing the spread... | [] | Train |
43,541 | 24 | Title: Decentralized Entropic Optimal Transport for Privacy-preserving Distributed Distribution Comparison
Abstract: , | [] | Train |
43,542 | 16 | Title: Establishing baselines and introducing TernaryMixOE for fine-grained out-of-distribution detection
Abstract: Machine learning models deployed in the open world may encounter observations that they were not trained to recognize, and they risk misclassifying such observations with high confidence. Therefore, it is... | [] | Train |
43,543 | 13 | Title: Reducing Idleness in Financial Cloud via Multi-objective Evolutionary Reinforcement Learning based Load Balancer
Abstract: In recent years, various companies started to shift their data services from traditional data centers onto cloud. One of the major motivations is to save operation costs with the aid of clou... | [] | Train |
43,544 | 24 | Title: Neural Priming for Sample-Efficient Adaptation
Abstract: We propose Neural Priming, a technique for adapting large pretrained models to distribution shifts and downstream tasks given few or no labeled examples. Presented with class names or unlabeled test samples, Neural Priming enables the model to recall and c... | [
23575
] | Train |
43,545 | 24 | Title: Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles
Abstract: Classical problems in computational physics such as data-driven forecasting and signal reconstruction from sparse sensors have recently seen an explosion in deep neural network... | [] | Train |
43,546 | 16 | Title: Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification
Abstract: In recent years, the Transformer architecture has shown its superiority in the video-based person re-identification task. Inspired by video representation learning, these methods mainly focus on designing modules to ... | [
38532
] | Train |
43,547 | 24 | Title: On the Vulnerability of Fairness Constrained Learning to Malicious Noise
Abstract: We consider the vulnerability of fairness-constrained learning to small amounts of malicious noise in the training data. Konstantinov and Lampert (2021) initiated the study of this question and presented negative results showing t... | [] | Train |
43,548 | 24 | Title: When to Pre-Train Graph Neural Networks? From Data Generation Perspective!
Abstract: In recent years, graph pre-training has gained significant attention, focusing on acquiring transferable knowledge from unlabeled graph data to improve downstream performance. Despite these recent endeavors, the problem of negat... | [] | Train |
43,549 | 10 | Title: Temporality and Causality in Abstract Argumentation
Abstract: In the context of abstract argumentation, we present the benefits of considering temporality, i.e. the order in which arguments are enunciated, as well as causality. We propose a formal method to rewrite the concepts of acyclic abstract argumentation ... | [] | Train |
43,550 | 28 | Title: Network Coding Power Control Mechanisms for Time Varying Channels
Abstract: In this paper, we propose a model for large scale fading channels via markov process. We exploit the channel delay profile and the dependency between channel states via a first order autoregressive model that cast insight to the channel ... | [] | Train |
43,551 | 24 | Title: Delayed Bandits: When Do Intermediate Observations Help?
Abstract: We study a $K$-armed bandit with delayed feedback and intermediate observations. We consider a model where intermediate observations have a form of a finite state, which is observed immediately after taking an action, whereas the loss is observed... | [] | Test |
43,552 | 24 | Title: MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
Abstract: Bayesian optimization (BO) is a popular method to optimize costly black-box functions. While traditional BO optimizes each new target task from scratch, meta-learning has emerged as a way to leverage knowledge from related tasks to optimiz... | [
14444
] | Train |
43,553 | 16 | Title: Machine Vision System for Early-stage Apple Flowers and Flower Clusters Detection for Precision Thinning and Pollination
Abstract: Early-stage identification of fruit flowers that are in both opened and unopened condition in an orchard environment is significant information to perform crop load management operat... | [] | Train |
43,554 | 24 | Title: Model-based Offline Reinforcement Learning with Count-based Conservatism
Abstract: In this paper, we propose a model-based offline reinforcement learning method that integrates count-based conservatism, named $\texttt{Count-MORL}$. Our method utilizes the count estimates of state-action pairs to quantify model e... | [] | Train |
43,555 | 15 | Title: Adaptive Data Path Selection for Durable Transaction in GPU Persistent Memory
Abstract: —The new non-volatile memory technology relies on data recoverability to achieve the promise of byte-addressable persistence in computer applications. The durable transaction (e.g. logging) is one of the major persistency pro... | [] | Validation |
43,556 | 24 | Title: How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection
Abstract: Anomaly detection attempts at finding examples that deviate from the expected behaviour. Usually, anomaly detection is tackled from an unsupervised perspective because anomalous labels are ra... | [
21183
] | Train |
43,557 | 16 | Title: Federated Generalized Category Discovery
Abstract: Generalized category discovery (GCD) aims at grouping unlabeled samples from known and unknown classes, given labeled data of known classes. To meet the recent decentralization trend in the community, we introduce a practical yet challenging task, namely Federat... | [
5885
] | Train |
43,558 | 24 | Title: Generalizing Neural Wave Functions
Abstract: Recent neural network-based wave functions have achieved state-of-the-art accuracies in modeling ab-initio ground-state potential energy surface. However, these networks can only solve different spatial arrangements of the same set of atoms. To overcome this limitatio... | [] | Train |
43,559 | 23 | Title: Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications
Abstract: Language model applications are becoming increasingly popular and complex, often including features like tool usage and retrieval augmentation. However, existing frameworks for such applications are often opinion... | [
43641
] | Train |
43,560 | 30 | Title: Circuit Breaking: Removing Model Behaviors with Targeted Ablation
Abstract: Language models often exhibit behaviors that improve performance on a pre-training objective but harm performance on downstream tasks. We propose a novel approach to removing undesirable behaviors by ablating a small number of causal pat... | [
28992,
36769,
13700,
13349,
33220,
44741,
29583,
4434,
38834,
46109
] | Validation |
43,561 | 16 | Title: IntrinsicNGP: Intrinsic Coordinate based Hash Encoding for Human NeRF
Abstract: Recently, many works have been proposed to utilize the neural radiance field for novel view synthesis of human performers. However, most of these methods require hours of training, making them difficult for practical use. To address ... | [
44501
] | Validation |
43,562 | 24 | Title: Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
Abstract: Learning disentangled causal representations is a challenging problem that has gained significant attention recently due to its implications for extracting meaningful information for downstream tasks. In t... | [] | Validation |
43,563 | 27 | Title: Research on Inertial Navigation Technology of Unmanned Aerial Vehicles with Integrated Reinforcement Learning Algorithm
Abstract: With the continuous expansion of unmanned aerial vehicle (UAV) applications, traditional inertial navigation technology exhibits significant limitations in complex environments. In th... | [] | Train |
43,564 | 24 | Title: Value-aware Importance Weighting for Off-policy Reinforcement Learning
Abstract: Importance sampling is a central idea underlying off-policy prediction in reinforcement learning. It provides a strategy for re-weighting samples from a distribution to obtain unbiased estimates under another distribution. However, ... | [
35942
] | Train |
43,565 | 15 | Title: VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs
Abstract: Deep Learning (DL) acceleration support in CPUs has recently gained a lot of traction, with several companies (Arm, Intel, IBM) announcing products with specialized matrix engines accessible via GEMM instructions. ... | [] | Train |
43,566 | 23 | Title: A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Abstract: Prompt engineering is an increasingly important skill set needed to converse effectively with large language models (LLMs), such as ChatGPT. Prompts are instructions given to an LLM to enforce rules, automate processes, and ensure spec... | [
17668,
20228,
7942,
29318,
11273,
31755,
15885,
20750,
24077,
10768,
30356,
42647,
32024,
43415,
7962,
42523,
6942,
19614,
24094,
40736,
24994,
40991,
13225,
17577,
45481,
25389,
31533,
44592,
28978,
8115,
39164,
29109,
11190,
13239,
44338,
44217... | Train |
43,567 | 6 | Title: SmartState: A Protocol-Driven Human Interface
Abstract: Since the inception of human research studies, researchers must often interact with participants on a set schedule to collect data. Researchers manually perform many interactions, leading to considerable time and financial expenses. Usually, user-provided d... | [] | Test |
43,568 | 16 | Title: TAAL: Test-Time Augmentation for Active Learning in Medical Image Segmentation
Abstract: nan | [] | Train |
43,569 | 30 | Title: Don't Trust GPT When Your Question Is Not In English
Abstract: Large Language Models (LLMs) have demonstrated exceptional natural language understanding abilities and have excelled in a variety of natural language processing (NLP)tasks in recent years. Despite the fact that most LLMs are trained predominantly in... | [
12128,
13700,
9252,
19083,
41087
] | Test |
43,570 | 24 | Title: Meta-learning in healthcare: A survey
Abstract: As a subset of machine learning, meta-learning, or learning to learn, aims at improving the model's capabilities by employing prior knowledge and experience. A meta-learning paradigm can appropriately tackle the conventional challenges of traditional learning appro... | [
4512
] | Train |
43,571 | 28 | Title: Finite alphabet phase retrieval
Abstract: We consider the finite alphabet phase retrieval problem: recovering a signal whose entries lie in a small alphabet of possible values from its Fourier magnitudes. This problem arises in the celebrated technology of X-ray crystallography to determine the atomic structure ... | [] | Train |
43,572 | 30 | Title: UDAPTER - Efficient Domain Adaptation Using Adapters
Abstract: We propose two methods to make unsupervised domain adaptation (UDA) more parameter efficient using adapters – small bottleneck layers interspersed with every layer of the large-scale pre-trained language model (PLM). The first method deconstructs UDA... | [
7904,
11476
] | Test |
43,573 | 24 | Title: Structure in Reinforcement Learning: A Survey and Open Problems
Abstract: Reinforcement Learning (RL), bolstered by the expressive capabilities of Deep Neural Networks (DNNs) for function approximation, has demonstrated considerable success in numerous applications. However, its practicality in addressing a wide... | [] | Test |
43,574 | 24 | Title: Learning to Rank Normalized Entropy Curves with Differentiable Window Transformation
Abstract: Recent automated machine learning systems often use learning curves ranking models to inform decisions about when to stop unpromising trials and identify better model configurations. In this paper, we present a novel l... | [] | Train |
43,575 | 3 | Title: Responsible and Inclusive Technology Framework: A Formative Framework to Promote Societal Considerations in Information Technology Contexts
Abstract: Technology development practices in industry are often primarily focused on business results, which risks creating unbalanced power relations between corporate int... | [] | Train |
43,576 | 27 | Title: Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network
Abstract: Modern robotic platforms need a reliable localization system to operate daily beside humans. Simple pose estimation algorithms based on filtered wheel and inertial odometry often fail in the presence of a... | [] | Train |
43,577 | 16 | Title: Joint Denoising and Few-angle Reconstruction for Low-dose Cardiac SPECT Using a Dual-domain Iterative Network with Adaptive Data Consistency
Abstract: Myocardial perfusion imaging (MPI) by single-photon emission computed tomography (SPECT) is widely applied for the diagnosis of cardiovascular diseases. Reducing ... | [] | Validation |
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