node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
40,178 | 22 | Title: SimuQ: A Domain-Specific Language For Quantum Simulation With Analog Compilation
Abstract: Quantum Hamiltonian simulation, which simulates the evolution of quantum systems and probes quantum phenomena, is one of the most promising applications of quantum computing. Recent experimental results suggest that Hamilt... | [] | Train |
40,179 | 24 | Title: Interpretable statistical representations of neural population dynamics and geometry
Abstract: The dynamics of neuron populations during diverse tasks often evolve on low-dimensional manifolds. However, it remains challenging to discern the contributions of geometry and dynamics for encoding relevant behavioural... | [] | Train |
40,180 | 16 | Title: Boosting Adversarial Transferability with Learnable Patch-wise Masks
Abstract: Adversarial examples have attracted widespread attention in security-critical applications because of their transferability across different models. Although many methods have been proposed to boost adversarial transferability, a gap ... | [] | Train |
40,181 | 30 | Title: Learning to Select the Relevant History Turns in Conversational Question Answering
Abstract: The increasing demand for the web-based digital assistants has given a rapid rise in the interest of the Information Retrieval (IR) community towards the field of conversational question answering (ConvQA). However, one ... | [
27048
] | Test |
40,182 | 26 | Title: NODDLE: Node2vec based deep learning model for link prediction
Abstract: nan | [] | Validation |
40,183 | 16 | Title: Towards Enhanced Controllability of Diffusion Models
Abstract: Denoising Diffusion models have shown remarkable capabilities in generating realistic, high-quality and diverse images. However, the extent of controllability during generation is underexplored. Inspired by techniques based on GAN latent space for im... | [
32069,
8308,
15132
] | Test |
40,184 | 34 | Title: Kernelization of Counting Problems
Abstract: We introduce a new framework for the analysis of preprocessing routines for parameterized counting problems. Existing frameworks that encapsulate parameterized counting problems permit the usage of exponential (rather than polynomial) time either explicitly or by impl... | [] | Validation |
40,185 | 15 | Title: Security Verification of Low-Trust Architectures
Abstract: Low-trust architectures work on, from the viewpoint of software, always-encrypted data, and significantly reduce the amount of hardware trust to a small software-free enclave component. In this paper, we perform a complete formal verification of a specif... | [] | Train |
40,186 | 16 | Title: CN-Celeb-AV: A Multi-Genre Audio-Visual Dataset for Person Recognition
Abstract: Audio-visual person recognition (AVPR) has received extensive attention. However, most datasets used for AVPR research so far are collected in constrained environments, and thus cannot reflect the true performance of AVPR systems in... | [
32020
] | Train |
40,187 | 6 | Title: On the Design of AI-powered Code Assistants for Notebooks
Abstract: AI-powered code assistants, such as Copilot, are quickly becoming a ubiquitous component of contemporary coding contexts. Among these environments, computational notebooks, such as Jupyter, are of particular interest as they provide rich interfa... | [
28297,
15434,
23276,
16052
] | Train |
40,188 | 8 | Title: Performance Analysis and Comparison of Non-ideal Wireless PBFT and RAFT Consensus Networks in 6G Communications
Abstract: Due to advantages in security and privacy, blockchain is considered a key enabling technology to support 6G communications. Practical Byzantine Fault Tolerance (PBFT) and RAFT are seen as the... | [
40914,
42620,
36342
] | Train |
40,189 | 16 | Title: TransPose: A Transformer-based 6D Object Pose Estimation Network with Depth Refinement
Abstract: As demand for robotics manipulation application increases, accurate vision-based 6D pose estimation becomes essential for autonomous operations. Convolutional Neural Networks (CNNs) based approaches for pose estimati... | [] | Train |
40,190 | 7 | Title: Molecular Design Based on Integer Programming and Splitting Data Sets by Hyperplanes
Abstract: A novel framework for designing the molecular structure of chemical compounds with a desired chemical property has recently been proposed. The framework infers a desired chemical graph by solving a mixed integer linear... | [] | Train |
40,191 | 16 | Title: PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration
Abstract: Point cloud registration is a task to estimate the rigid transformation between two unaligned scans, which plays an important role in many computer vision applications. Previous learning-based works com... | [] | Test |
40,192 | 30 | Title: A Survey of Large Language Models
Abstract: Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach, language modeling has been widely s... | [
46080,
20993,
4610,
20995,
23554,
41991,
8200,
34826,
9741,
19469,
16911,
42509,
16401,
29714,
22547,
37397,
24087,
3609,
31771,
4639,
30243,
1572,
9252,
27685,
33830,
36392,
19501,
34351,
32305,
23602,
30775,
22073,
21562,
3643,
28730,
34361,
... | Test |
40,193 | 16 | Title: Efficient Large-scale AUV-based Visual Seafloor Mapping
Abstract: Driven by the increasing number of marine data science applications, there is a growing interest in surveying and exploring the vast, uncharted terrain of the deep sea with robotic platforms. Despite impressive results achieved by many on-land vis... | [
19295
] | Train |
40,194 | 22 | Title: __host__ __device__ - Generic programming in Cuda
Abstract: We present patterns for Cuda/C++ to write save generic code which works both on the host and device side. Writing templated functions in Cuda/C++ both for the CPU and the GPU bears the problem that in general both __host__ and __device__ functions are i... | [] | Train |
40,195 | 24 | Title: Linear Bandits with Memory: from Rotting to Rising
Abstract: Nonstationary phenomena, such as satiation effects in recommendations, have mostly been modeled using bandits with finitely many arms. However, the richer action space provided by linear bandits is often preferred in practice. In this work, we introduc... | [
4224
] | Test |
40,196 | 24 | Title: Fine-Tuning Language Models with Just Forward Passes
Abstract: Fine-tuning language models (LMs) has yielded success on diverse downstream tasks, but as LMs grow in size, backpropagation requires a prohibitively large amount of memory. Zeroth-order (ZO) methods can in principle estimate gradients using only two ... | [
20449,
33220,
21375,
29006,
20911,
8436,
18870,
7159,
17400,
4635,
12027
] | Test |
40,197 | 24 | Title: Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory
Abstract: Deep learning models are prone to forgetting information learned in the past when trained on new data. This problem becomes even more pronounced in the context of federated learning (FL), where data is decentra... | [
41005
] | Train |
40,198 | 27 | Title: Wrapyfi: A Wrapper for Message-Oriented and Robotics Middleware
Abstract: Message-oriented and robotics middleware play an important role in facilitating robot control, abstracting complex functionality and unifying communication patterns across networks of sensors and devices. However, the use of multiple middl... | [
45297
] | Validation |
40,199 | 31 | Title: STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports
Abstract: The automatic extraction of information from Cyber Threat Intelligence (CTI) reports is crucial in risk management. The increased frequency of the publications of these reports has led researchers to develop new system... | [] | Validation |
40,200 | 24 | Title: The bionic neural network for external simulation of human locomotor system
Abstract: Muscle forces and joint kinematics estimated with musculoskeletal (MSK) modeling techniques offer useful metrics describing movement quality. Model-based computational MSK models can interpret the dynamic interaction between th... | [] | Test |
40,201 | 34 | Title: Dynamic programming on bipartite tree decompositions
Abstract: We revisit a graph width parameter that we dub bipartite treewidth, along with its associated graph decomposition that we call bipartite tree decomposition. Bipartite treewidth can be seen as a common generalization of treewidth and the odd cycle tra... | [] | Train |
40,202 | 16 | Title: See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning
Abstract: Large pre-trained vision and language models have demonstrated remarkable capacities for various tasks. However, solving the knowledge-based visual reasoning tasks remains challenging, whi... | [
28839,
16232,
19404,
16524,
21461
] | Train |
40,203 | 2 | Title: On Discovering Interesting Combinatorial Integer Sequences
Abstract: We study the problem of generating interesting integer sequences with a combinatorial interpretation. For this we introduce a two-step approach. In the first step, we generate first-order logic sentences which define some combinatorial objects,... | [
42592
] | Train |
40,204 | 4 | Title: A Natural Language Processing Approach to Malware Classification
Abstract: Many different machine learning and deep learning techniques have been successfully employed for malware detection and classification. Examples of popular learning techniques in the malware domain include Hidden Markov Models (HMM), Rando... | [] | Train |
40,205 | 5 | Title: The ExaNeSt Prototype: Evaluation of Efficient HPC Communication Hardware in an ARM-based Multi-FPGA Rack
Abstract: We present and evaluate the ExaNeSt Prototype, a liquid-cooled rack prototype consisting of 256 Xilinx ZU9EG MPSoCs, 4 TBytes of DRAM, 16 TBytes of SSD, and configurable interconnection 10-Gbps har... | [] | Validation |
40,206 | 24 | Title: Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel's Spectrum
Abstract: Wide neural networks are biased towards learning certain functions, influencing both the rate of convergence of gradient descent (GD) and the functions that are reachable with GD in finite training time. As such, ... | [] | Train |
40,207 | 30 | Title: Non-Sequential Graph Script Induction via Multimedia Grounding
Abstract: Online resources such as WikiHow compile a wide range of scripts for performing everyday tasks, which can assist models in learning to reason about procedures. However, the scripts are always presented in a linear manner, which does not ref... | [
31421,
11071
] | Train |
40,208 | 27 | Title: Exploiting Symmetry and Heuristic Demonstrations in Off-policy Reinforcement Learning for Robotic Manipulation
Abstract: Reinforcement learning demonstrates significant potential in automatically building control policies in numerous domains, but shows low efficiency when applied to robot manipulation tasks due ... | [] | Test |
40,209 | 16 | Title: Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection
Abstract: We propose a method that augments a simulated dataset using diffusion models to improve the performance of pedestrian detection in real-world data. The high cost of collecting and annotating data in the real-world h... | [
24418,
12764
] | Train |
40,210 | 24 | Title: Sponge ML Model Attacks of Mobile Apps
Abstract: Machine Learning (ML)-powered apps are used in pervasive devices such as phones, tablets, smartwatches and IoT devices. Recent advances in collaborative, distributed ML such as Federated Learning (FL) attempt to solve privacy concerns of users and data owners, and... | [] | Validation |
40,211 | 30 | Title: Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models
Abstract: Learning vectors that capture the meaning of concepts remains a fundamental challenge. Somewhat surprisingly, perhaps, pre-trained language models have thus far only enabled modest improvements to the quality of such c... | [
41236
] | Train |
40,212 | 6 | Title: Sequential Best-Arm Identification with Application to Brain-Computer Interface
Abstract: A brain-computer interface (BCI) is a technology that enables direct communication between the brain and an external device or computer system. It allows individuals to interact with the device using only their thoughts, an... | [
9302
] | Test |
40,213 | 30 | Title: TQ-Net: Mixed Contrastive Representation Learning For Heterogeneous Test Questions
Abstract: Recently, more and more people study online for the convenience of access to massive learning materials (e.g. test questions/notes), thus accurately understanding learning materials became a crucial issue, which is essen... | [] | Test |
40,214 | 27 | Title: Learning Vehicle Dynamics from Cropped Image Patches for Robot Navigation in Unpaved Outdoor Terrains
Abstract: In the realm of autonomous mobile robots, safe navigation through unpaved outdoor environments remains a challenging task. Due to the high-dimensional nature of sensor data, extracting relevant informa... | [] | Test |
40,215 | 38 | Title: Towards a semantic approach in GLAM Labs: the case of the Data Foundry at the National Library of Scotland
Abstract: GLAM organisations have been exploring the benefits of publishing their digital collections in a wide variety of forms since the 2000s. Many institutions, and in particular libraries, have applied... | [] | Train |
40,216 | 16 | Title: LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility
Abstract: Learning to recover clear images from images having a combination of degrading factors is a challenging task. That being said, autonomous surveillance in low visibility conditions caused by high pollution/smoke, poor air quali... | [] | Train |
40,217 | 8 | Title: Partitioning and Deployment of Deep Neural Networks on Edge Clusters
Abstract: Edge inference has become more widespread, as its diverse applications range from retail to wearable technology. Clusters of networked resource-constrained edge devices are becoming common, yet no system exists to split a DNN across t... | [] | Test |
40,218 | 27 | Title: Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80
Abstract: Robotic applications require the integration of various modalities, encompassing perception, control of real robots and possibly the control of simulated environments. While the state-of-the-art robot... | [
25279
] | Train |
40,219 | 16 | Title: Turning a CLIP Model into a Scene Text Detector
Abstract: The recent large-scale Contrastive Language-Image Pretraining (CLIP) model has shown great potential in various downstream tasks via leveraging the pretrained vision and language knowledge. Scene text, which contains rich textual and visual information, h... | [
31461,
4786,
14154,
32038
] | Train |
40,220 | 16 | Title: vMAP: Vectorised Object Mapping for Neural Field SLAM
Abstract: We present vMAP, an object-level dense SLAM system using neural field representations. Each object is repre-sented by a small MLP, enabling efficient, watertight object modelling without the needfor 3D priors. As an RGB-D camera browses a scene with... | [
15778,
998,
3629,
22639,
11505,
32433
] | Train |
40,221 | 23 | Title: Scaling Up Toward Automated Black-box Reverse Engineering of Context-Free Grammars
Abstract: Black-box context-free grammar inference is a hard problem as in many practical settings it only has access to a limited number of example programs. The state-of-the-art approach Arvada heuristically generalizes grammar ... | [] | Validation |
40,222 | 4 | Title: OblivIO: Securing Reactive Programs by Oblivious Execution with Bounded Traffic Overheads
Abstract: Traffic analysis attacks remain a significant problem for online security. Communication between nodes can be observed by network level attackers as it inherently takes place in the open. Despite online services i... | [] | Validation |
40,223 | 10 | Title: Belief revision and incongruity: is it a joke?
Abstract: Incongruity often makes people laugh. You have to be smart to say stupid things. It requires to be even smarter for understanding them. This paper is a shameless attempt to formalize this intelligent behavior in the case of an agent listening to a joke. Al... | [] | Train |
40,224 | 16 | Title: Integrating Human Parsing and Pose Network for Human Action Recognition
Abstract: Human skeletons and RGB sequences are both widely-adopted input modalities for human action recognition. However, skeletons lack appearance features and color data suffer large amount of irrelevant depiction. To address this, we in... | [
37672,
41073
] | Train |
40,225 | 27 | Title: 3D-SeqMOS: A Novel Sequential 3D Moving Object Segmentation in Autonomous Driving
Abstract: For the SLAM system in robotics and autonomous driving, the accuracy of front-end odometry and back-end loop-closure detection determine the whole intelligent system performance. But the LiDAR-SLAM could be disturbed by c... | [] | Train |
40,226 | 28 | Title: Transmitter Side Beyond-Diagonal Reconfigurable Intelligent Surface for Massive MIMO Networks
Abstract: This letter focuses on a transmitter or base station (BS) side beyond-diagonal reflecting intelligent surface (BD-RIS) deployment strategy to enhance the spectral efficiency (SE) of a time-division-duplex mass... | [] | Validation |
40,227 | 36 | Title: Online Learning in Multi-unit Auctions
Abstract: We consider repeated multi-unit auctions with uniform pricing, which are widely used in practice for allocating goods such as carbon licenses. In each round, $K$ identical units of a good are sold to a group of buyers that have valuations with diminishing marginal... | [
21788
] | Train |
40,228 | 16 | Title: PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow
Abstract: This paper proposes a novel paradigm for facial privacy protection that unifies multiple characteristics including anonymity, diversity, reversibility and security within a single lightweight framework. We name it PRO-... | [
612
] | Train |
40,229 | 24 | Title: Unlocking Layer-wise Relevance Propagation for Autoencoders
Abstract: Autoencoders are a powerful and versatile tool often used for various problems such as anomaly detection, image processing and machine translation. However, their reconstructions are not always trivial to explain. Therefore, we propose a fast ... | [] | Train |
40,230 | 28 | Title: Age-Energy Trade-off in Status Update System with Wake-up Control
Abstract: In the status update system, the freshness of information is drawing more and more attention. To measure the freshness of the data, age-of-synchronization (AoS) is introduced. Since many communication devices are energy-constrained, how ... | [] | Test |
40,231 | 16 | Title: Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification
Abstract: Masked autoencoders (MAEs) have displayed significant potential in the classification and semantic segmentation of medical images in the last year. Due to the h... | [
2400,
17154,
645
] | Train |
40,232 | 16 | Title: Fine-grained Visual Classification with High-temperature Refinement and Background Suppression
Abstract: Fine-grained visual classification is a challenging task due to the high similarity between categories and distinct differences among data within one single category. To address the challenges, previous strat... | [
25607
] | Validation |
40,233 | 16 | Title: Decoupled Kullback-Leibler Divergence Loss
Abstract: In this paper, we delve deeper into the Kullback-Leibler (KL) Divergence loss and observe that it is equivalent to the Doupled Kullback-Leibler (DKL) Divergence loss that consists of 1) a weighted Mean Square Error (wMSE) loss and 2) a Cross-Entropy loss incor... | [
31248,
8769,
19243,
33414
] | Test |
40,234 | 15 | Title: Infra-Red, In-Situ (IRIS) Inspection of Silicon
Abstract: This paper introduces the Infra-Red, In Situ (IRIS) inspection method, which uses short-wave IR (SWIR) light to non-destructively"see through"the backside of chips and image them with lightly modified conventional digital CMOS cameras. With a ~1050 nm lig... | [] | Train |
40,235 | 16 | Title: Factorizers for Distributed Sparse Block Codes
Abstract: Distributed sparse block codes (SBCs) exhibit compact representations for encoding and manipulating symbolic data structures using fixed-with vectors. One major challenge however is to disentangle, or factorize, such data structures into their constituent ... | [] | Train |
40,236 | 6 | Title: Evaluating 3D User Interaction Techniques on Spatial Working Memory for 3D Scatter Plot Exploration in Immersive Analytics
Abstract: This work evaluates three 3D user interaction techniques to investigate their visuo-spatial working memory support for users' data exploration in immersive analytics. Two technique... | [] | Validation |
40,237 | 8 | Title: Evaluating The Interference Potential in 6 GHz: An Extensive Measurement Campaign of A Dense Indoor Wi-Fi 6E Network
Abstract: The Federal Communications Commission (FCC) has allocated the 6 GHz band (5.925 - 7.125 GHz) for unlicensed, shared use in the US. Incumbents in the band are protected via Low Power Indo... | [] | Test |
40,238 | 6 | Title: A Deep-Learning-Based Neural Decoding Framework for Emotional Brain-Computer Interfaces
Abstract: Reading emotions precisely from segments of neural activity is crucial for the development of emotional brain-computer interfaces. Among all neural decoding algorithms, deep learning (DL) holds the potential to beco... | [] | Train |
40,239 | 16 | Title: Learning from Synthetic Human Group Activities
Abstract: The understanding of complex human interactions and group activities has garnered attention in human-centric computer vision. However, the advancement of the related tasks is hindered due to the difficulty of obtaining large-scale labeled real-world datase... | [] | Train |
40,240 | 30 | Title: Multilevel Sentence Embeddings for Personality Prediction
Abstract: Representing text into a multidimensional space can be done with sentence embedding models such as Sentence-BERT (SBERT). However, training these models when the data has a complex multilevel structure requires individually trained class-specifi... | [] | Train |
40,241 | 16 | Title: Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization
Abstract: We propose a self-supervised method for learning motion-focused video representations. Existing approaches minimize distances between temporally augmented videos, which maintain high spatial similarity. We instead propose to learn ... | [
7157
] | Validation |
40,242 | 16 | Title: Generating Driving Scenes with Diffusion
Abstract: In this paper we describe a learned method of traffic scene generation designed to simulate the output of the perception system of a self-driving car. In our"Scene Diffusion"system, inspired by latent diffusion, we use a novel combination of diffusion and object... | [
9743
] | Train |
40,243 | 24 | Title: FAENet: Frame Averaging Equivariant GNN for Materials Modeling
Abstract: Applications of machine learning techniques for materials modeling typically involve functions known to be equivariant or invariant to specific symmetries. While graph neural networks (GNNs) have proven successful in such tasks, they enforc... | [
12378
] | Train |
40,244 | 16 | Title: GVdoc: Graph-based Visual Document Classification
Abstract: The robustness of a model for real-world deployment is decided by how well it performs on unseen data and distinguishes between in-domain and out-of-domain samples. Visual document classifiers have shown impressive performance on in-distribution test se... | [] | Train |
40,245 | 16 | Title: Disentangled Pre-training for Image Matting
Abstract: Image matting requires high-quality pixel-level human annotations to support the training of a deep model in recent literature. Whereas such annotation is costly and hard to scale, significantly holding back the development of the research. In this work, we m... | [] | Train |
40,246 | 23 | Title: Understanding the Influence of Motivation on Requirements Engineering-related Activities
Abstract: Motivation has been identified as one of the key human aspects for software practitioners involved in Software Engineering (SE) activities to complete their tasks successfully. While prior research on motivation in... | [] | Test |
40,247 | 16 | Title: LARD - Landing Approach Runway Detection - Dataset for Vision Based Landing
Abstract: As the interest in autonomous systems continues to grow, one of the major challenges is collecting sufficient and representative real-world data. Despite the strong practical and commercial interest in autonomous landing system... | [] | Train |
40,248 | 5 | Title: Quorum Tree Abstractions of Consensus Protocols
Abstract: Distributed algorithms solving agreement problems like consensus or state machine replication are essential components of modern fault-tolerant distributed services. They are also notoriously hard to understand and reason about. Their complexity stems fro... | [] | Train |
40,249 | 30 | Title: DMDD: A Large-Scale Dataset for Dataset Mentions Detection
Abstract: The recognition of dataset names is a critical task for automatic information extraction in scientific literature, enabling researchers to understand and identify research opportunities. However, existing corpora for dataset mention detection a... | [] | Test |
40,250 | 30 | Title: Analyzing the Representational Geometry of Acoustic Word Embeddings
Abstract: Acoustic word embeddings (AWEs) are fixed-dimensionality vector representations in a vector space such that different acoustic exemplars of the same word are projected nearby in the embedding space. In addition to their use in speech t... | [] | Train |
40,251 | 10 | Title: Novelty and Lifted Helpful Actions in Generalized Planning
Abstract: It has been shown recently that successful techniques in classical planning, such as goal-oriented heuristics and landmarks, can improve the ability to compute planning programs for generalized planning (GP) problems. In this work, we introduce... | [] | Train |
40,252 | 30 | Title: Towards Controllable Natural Language Inference through Lexical Inference Types
Abstract: Explainable natural language inference aims to provide a mechanism to produce explanatory (abductive) inference chains which ground claims to their supporting premises. A recent corpus called EntailmentBank strives to advan... | [
16056
] | Test |
40,253 | 16 | Title: Revisiting Latent Space of GAN Inversion for Real Image Editing
Abstract: The exploration of the latent space in StyleGANs and GAN inversion exemplify impressive real-world image editing, yet the trade-off between reconstruction quality and editing quality remains an open problem. In this study, we revisit Style... | [
39746,
20435
] | Validation |
40,254 | 27 | Title: Embedding bifurcations into pneumatic artificial muscle
Abstract: Harnessing complex body dynamics has been a long-standing challenge in robotics. Soft body dynamics is a typical example of high complexity in interacting with the environment. An increasing number of studies have reported that these dynamics can ... | [] | Train |
40,255 | 16 | Title: Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems
Abstract: Reliable classification and detection of certain medical conditions, in images, with state-of-the-art semantic segmentation networks, require vast amounts of pixel-wise annotation. However, the public availability o... | [] | Train |
40,256 | 16 | Title: Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
Abstract: We present Magic123, a two-stage coarse-to-fine approach for high-quality, textured 3D meshes generation from a single unposed image in the wild using both2D and 3D priors. In the first stage, we optimize a n... | [
18720,
26625,
28673,
32384,
30566,
680,
3912,
9706,
42666,
16562,
36083,
44726,
34167,
14842,
27517
] | Validation |
40,257 | 30 | Title: SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
Abstract: Recent studies reveal that various biases exist in different NLP tasks, and over-reliance on biases results in models' poor generalization ability and low adversarial robustness. To mitigate datasets biases, previous works propose lot... | [
37854
] | Train |
40,258 | 16 | Title: Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation
Abstract: In recent years, 3D representation learning has turned to 2D vision-language pre-trained models to overcome data scarcity challenges. However, existing methods simply transfer 2D alignment strategies, align... | [
7776,
6337,
19172,
17642,
24622
] | Train |
40,259 | 6 | Title: Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback
Abstract: Millions of users come to online peer counseling platforms to seek support on diverse topics ranging from relationship stress to anxiety. However, studies show that online peer support groups are not always as effecti... | [] | Train |
40,260 | 10 | Title: Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries
Abstract: Many decision-making scenarios, e.g., public policy, healthcare, business, and disaster response, require accommodating the preferences of multiple stakeholders. We offer the first formal treatment of reasoning with multi-... | [] | Train |
40,261 | 30 | Title: Head-to-Tail: How Knowledgeable are Large Language Models (LLM)? A.K.A. Will LLMs Replace Knowledge Graphs?
Abstract: Since the recent prosperity of Large Language Models (LLMs), there have been interleaved discussions regarding how to reduce hallucinations from LLM responses, how to increase the factuality of L... | [
9518,
27669,
5301,
43641,
35580,
45695
] | Test |
40,262 | 10 | Title: Clustered Embedding Learning for Recommender Systems
Abstract: In recent years, recommender systems have advanced rapidly, where embedding learning for users and items plays a critical role. A standard method learns a unique embedding vector for each user and item. However, such a method has two important limita... | [] | Test |
40,263 | 16 | Title: Adaptive Multi-source Predictor for Zero-shot Video Object Segmentation
Abstract: Both static and moving objects usually exist in real-life videos. Most video object segmentation methods only focus on exacting and exploiting motion cues to perceive moving objects. Once faced with static objects frames, moving ob... | [
15957
] | Train |
40,264 | 36 | Title: Bi-Objective Lexicographic Optimization in Markov Decision Processes with Related Objectives
Abstract: We consider lexicographic bi-objective problems on Markov Decision Processes (MDPs), where we optimize one objective while guaranteeing optimality of another. We propose a two-stage technique for solving such p... | [
43079
] | Test |
40,265 | 16 | Title: Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
Abstract: In this work, by re-examining the"matching"nature of Anomaly Detection (AD), we propose a new AD framework that simultaneously enjoys new records of AD accuracy and dramatically high ru... | [
42342,
25768,
29902,
39761,
25910,
1144,
34749
] | Train |
40,266 | 16 | Title: Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation
Abstract: Efficiently training accurate deep models for weakly supervised semantic segmentation (WSSS) with image-level labels is challenging and important. Recently, end-to-end WSSS methods have become the focus of research ... | [
30757
] | Test |
40,267 | 30 | Title: UniEX: An Effective and Efficient Framework for Unified Information Extraction via a Span-extractive Perspective
Abstract: We propose a new paradigm for universal information extraction (IE) that is compatible with any schema format and applicable to a list of IE tasks, such as named entity recognition, relation... | [] | Train |
40,268 | 4 | Title: Cryptanalysis of Random Affine Transformations for Encrypted Control
Abstract: Cloud-based and distributed computations are of growing interest in modern control systems. However, these technologies require performing computations on not necessarily trustworthy platforms and, thus, put the confidentiality of sen... | [] | Train |
40,269 | 24 | Title: Learning Stationary Markov Processes with Contrastive Adjustment
Abstract: We introduce a new optimization algorithm, termed contrastive adjustment, for learning Markov transition kernels whose stationary distribution matches the data distribution. Contrastive adjustment is not restricted to a particular family ... | [
34074
] | Train |
40,270 | 22 | Title: The Quantum Effect: A Recipe for QuantumPi
Abstract: Free categorical constructions characterise quantum computing as the combination of two copies of a reversible classical model, glued by the complementarity equations of classical structures. This recipe effectively constructs a computationally universal quant... | [] | Validation |
40,271 | 16 | Title: Unsupervised discovery of Interpretable Visual Concepts
Abstract: Providing interpretability of deep-learning models to non-experts, while fundamental for a responsible real-world usage, is challenging. Attribution maps from xAI techniques, such as Integrated Gradients, are a typical example of a visualization t... | [
27245
] | Train |
40,272 | 24 | Title: Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data
Abstract: Multivariate Time-Series (MTS) data is crucial in various application fields. With its sequential and multi-source (multiple sensors) properties, MTS data inherently exhibits Spatial-Temporal (ST) dependencies, involving temporal ... | [
32869
] | Train |
40,273 | 24 | Title: An Effective LSTM-DDPM Scheme for Energy Theft Detection and Forecasting in Smart Grid
Abstract: Energy theft detection (ETD) and energy consumption forecasting (ECF) are two interconnected challenges in smart grid systems. Addressing these issues collectively is crucial for ensuring system security. This paper ... | [] | Train |
40,274 | 13 | Title: Symbolic Regression via Control Variable Genetic Programming
Abstract: Learning symbolic expressions directly from experiment data is a vital step in AI-driven scientific discovery. Nevertheless, state-of-the-art approaches are limited to learning simple expressions. Regressing expressions involving many indepen... | [] | Train |
40,275 | 24 | Title: Never Explore Repeatedly in Multi-Agent Reinforcement Learning
Abstract: In the realm of multi-agent reinforcement learning, intrinsic motivations have emerged as a pivotal tool for exploration. While the computation of many intrinsic rewards relies on estimating variational posteriors using neural network appro... | [] | Test |
40,276 | 24 | Title: Complementary to Multiple Labels: A Correlation-Aware Correction Approach
Abstract: \textit{Complementary label learning} (CLL) requires annotators to give \emph{irrelevant} labels instead of relevant labels for instances. Currently, CLL has shown its promising performance on multi-class data by estimating a tra... | [] | Test |
40,277 | 24 | Title: System III: Learning with Domain Knowledge for Safety Constraints
Abstract: Reinforcement learning agents naturally learn from extensive exploration. Exploration is costly and can be unsafe in $\textit{safety-critical}$ domains. This paper proposes a novel framework for incorporating domain knowledge to help gui... | [
14857,
18065,
38817
] | Train |
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