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"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion. | 2,023 | 0 | 0 | 0 | be641c0c6c8f83c84963e1254b2eda74e6a29d3f | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 自然语言处理 |
3D Assembly Completion. | 2,023 | 1 | 0 | 0 | eb2256efc25ad00d4a18a9901cf83b17dbc038a4 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 计算机视觉 |
3D Human Pose Lifting with Grid Convolution. | 2,023 | 6 | 2 | 0 | eab5282e937a9b09b3af8c0956f1aa09ff20cfa9 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 计算机视觉 |
A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection. | 2,023 | 14 | 2 | 1 | 974e24ce5ca6a23b8841f3b1049edff0aeaf42ce | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 7 | 计算机视觉 |
A Composite Multi-Attention Framework for Intraoperative Hypotension Early Warning. | 2,023 | 7 | 3 | 0 | 7e270239bda02a2355367df7f02deafb96920c54 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 模型可解释性、公平性、应用系统等 |
A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya. | 2,023 | 5 | 1 | 0 | 42aa79b825616927348b03fab5eb33a38750ab44 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 自然语言处理 |
A Coreset Learning Reality Check. | 2,023 | 5 | 3 | 0 | fb3d8ae9e0ac948b2d7dd42293ce508093d160c8 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 表示学习与优化方法 |
A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification. | 2,023 | 0 | 0 | 0 | fa8762d3e3811563a948096967fccbf3e7392a87 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 计算机视觉 |
A Data Source for Reasoning Embodied Agents. | 2,023 | 10 | 2 | 0 | 5c828011a508611df4d58cced9cc48d049dc4eb9 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 强化学习与智能决策 |
A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation. | 2,023 | 8 | 4 | 0 | 6b36b4ef56d9ac2eb622c331610f23d6e3f6799d | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 自然语言处理 |
A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling. | 2,023 | 23 | 5 | 0 | aec9ae3c0e5a5784e171dbb7aa58c209de89e404 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | 自然语言处理 |
A Domain-Transfer Meta Task Design Paradigm for Few-Shot Slot Tagging. | 2,023 | 0 | 0 | 0 | b4481a16cfac0008e5b12a4e6d375df81d5a9fce | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 自然语言处理 |
A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept. | 2,023 | 2 | 2 | 0 | 5f08ec6254022a2bfaeebb9d9c72404a1351c078 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 强化学习与智能决策 |
A Fair Generative Model Using LeCam Divergence. | 2,023 | 7 | 1 | 0 | 14f5e4afdd089120aa171edb7bfd424f243a618d | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 模型可解释性、公平性、应用系统等 |
A Fair Incentive Scheme for Community Health Workers. | 2,023 | 1 | 1 | 0 | 4eeea5d32ce847d0e36e1ccb4de7dce6036128e3 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 模型可解释性、公平性、应用系统等 |
A Faster Practical Approximation Scheme for the Permanent. | 2,023 | 0 | 0 | 0 | d883d135250580201b091e1552128b0a29a7052c | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 概率统计与推理基础 |
A Formal Metareasoning Model of Concurrent Planning and Execution. | 2,023 | 3 | 0 | 0 | a1e304ee403237b71740b837e934ab5153410356 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 强化学习与智能决策 |
A Framework to Design Approximation Algorithms for Finding Diverse Solutions in Combinatorial Problems. | 2,023 | 20 | 3 | 0 | 807cfcbca58e27d087a913be5c2481e524aeb7f9 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 8 | 表示学习与优化方法 |
A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization. | 2,023 | 9 | 2 | 0 | 0239c9c90a81686ac386aee7d795096858bb8c8a | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 表示学习与优化方法 |
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. | 2,023 | 0 | 0 | 0 | 5dd1c14cc13e80ded379a8ed4cb04cbaed9aa01d | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 机器学习(含深度学习) |
A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning. | 2,023 | 19 | 4 | 0 | 2a34d4e279e8da66a5600b1943de07ac5ddee402 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 自然语言处理 |
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise. | 2,023 | 7 | 0 | 1 | 18048fcf06e2f131d93dbc1a6c3708f0f188a344 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 机器学习(含深度学习) |
A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. | 2,023 | 2 | 0 | 0 | 8c36246da412610435d605063885646b279958de | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 自然语言处理 |
A Holistic Approach to Undesired Content Detection in the Real World. | 2,023 | 0 | 0 | 0 | b69aa32ee52f5efe8e3196114581ac610da8a2b2 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 模型可解释性、公平性、应用系统等 |
A Latent-Variable Model for Intrinsic Probing. | 2,023 | 0 | 0 | 0 | c0b9c2dacf76f2a55575291c117fec7162f745d3 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 概率统计与推理基础 |
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs. | 2,023 | 10 | 2 | 0 | c44da47301bae65f687650997293ba1933ec9015 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 7 | 表示学习与优化方法 |
A Machine with Short-Term, Episodic, and Semantic Memory Systems. | 2,023 | 6 | 0 | 0 | d823694648cff737e14a613d5c743ac2b6cf39bf | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 强化学习与智能决策 |
A Model-Agnostic Heuristics for Selective Classification. | 2,023 | 10 | 4 | 1 | 4ddaaf045afc618f3a1c849d6a088b7982e8477a | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 4 | 模型可解释性、公平性、应用系统等 |
A Neural Span-Based Continual Named Entity Recognition Model. | 2,023 | 13 | 0 | 0 | 078de8a6e93c7679fd82bd4527681b2ff1963e25 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 自然语言处理 |
A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving. | 2,023 | 2 | 1 | 0 | 2764258ec19ed233f2871574f31f90e587cdac01 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 自然语言处理 |
A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games. | 2,023 | 4 | 2 | 0 | ab178e4e4389cc2578617dec3186c313b4a35cb2 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 强化学习与智能决策 |
A Parameterized Theory of PAC Learning. | 2,023 | 7 | 0 | 0 | 26b394a90119f8ee2a9820d92cc28780c600cca7 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 基础AI理论 |
A Provable Framework of Learning Graph Embeddings via Summarization. | 2,023 | 6 | 2 | 0 | bc4bf8864aff1d41ad76d677714ea21606b290c4 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 表示学习与优化方法 |
A Question-Answering Approach to Key Value Pair Extraction from Form-Like Document Images. | 2,023 | 14 | 1 | 0 | f5ddb5440ac6eb46da1b91b6bfe247c3a45eaaf1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 计算机视觉 |
A Risk-Sensitive Approach to Policy Optimization. | 2,023 | 8 | 0 | 0 | 2a1b41221def527e17eb1ca04f4f32442fa09ba7 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 强化学习与智能决策 |
A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding. | 2,023 | 16 | 5 | 1 | 38ec6fc80ccbf1dd8a7e66111ff37473f9edbad8 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 自然语言处理 |
A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks. | 2,023 | 5 | 1 | 0 | 80df6f7525f24cce6d3d4c5f1a17566613a6f60d | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 概率统计与推理基础 |
A Semidefinite Relaxation Based Branch-and-Bound Method for Tight Neural Network Verification. | 2,023 | 3 | 1 | 0 | 621bba60ab56347038696b287b21c2bd8132b16b | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 模型可解释性、公平性、应用系统等 |
A Set of Control Points Conditioned Pedestrian Trajectory Prediction. | 2,023 | 62 | 22 | 2 | 8c6eef90065c8c35e6051e80478c993b48a783e8 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 21 | 计算机视觉 |
A Simple Baseline for Multi-Camera 3D Object Detection. | 2,023 | 27 | 12 | 1 | b0226ed79f7b9efe06adfd0c093228a354bc5197 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 11 | 计算机视觉 |
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data. | 2,023 | 8 | 0 | 0 | 24a2b64e8daa805c6de265a70ad7f0c2b45479d1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 概率统计与推理基础 |
A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER. | 2,023 | 10 | 6 | 0 | 593434904a5fe302aa876d7736a737c86e795724 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 自然语言处理 |
A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis. | 2,023 | 2 | 0 | 0 | cf3b0c1331f4aeb15218c5d55a46655a237afc78 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 自然语言处理 |
A Structural Complexity Analysis of Synchronous Dynamical Systems. | 2,023 | 1 | 0 | 0 | 91704981d91f327d3304eea20d75f318b969448e | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 基础AI理论 |
A Survey on Model Compression and Acceleration for Pretrained Language Models. | 2,023 | 80 | 13 | 0 | c546e5447f412bf4f274e490996718641b211aa6 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 22 | 29 | 自然语言处理 |
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference. | 2,023 | 7 | 2 | 0 | 2314afc804b9c425cefda5c7854ac4110e7b4812 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 概率统计与推理基础 |
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech. | 2,023 | 46 | 24 | 0 | 4b8d3ede673ddeab9dfb5184da6b748d7a526754 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 13 | 20 | 自然语言处理 |
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration. | 2,023 | 7 | 2 | 0 | fe95085e0a6d19a60a524f85be5ccd63a5959735 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 表示学习与优化方法 |
ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency. | 2,023 | 32 | 5 | 0 | 48e556c2c67b7d05ea16ec0354bcc0372c927fbb | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | 9 | 强化学习与智能决策 |
ACL-Net: Semi-supervised Polyp Segmentation via Affinity Contrastive Learning. | 2,023 | 28 | 4 | 0 | b7fe355f1db5dbf47e4ac223c7a48e8dbaa7cbe1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 15 | 计算机视觉 |
ADEPT: A DEbiasing PrompT Framework. | 2,023 | 33 | 6 | 0 | 1abd4fa45ce20175452aa238870db2aebe9c0fe0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 15 | 模型可解释性、公平性、应用系统等 |
AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation. | 2,023 | 12 | 2 | 0 | 7a084f14b45e83fd2d870d0cdbe38560cd2c07c9 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 机器学习(含深度学习) |
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model. | 2,023 | 12 | 6 | 0 | a8767413d9b969b04c9c440a30f6b7c6a9c4b1bc | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 自然语言处理 |
AUC Maximization for Low-Resource Named Entity Recognition. | 2,023 | 9 | 2 | 0 | 87778991ffea60f1d4e80d726335338270ecc2f6 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 自然语言处理 |
Abstract Argumentation Framework with Conditional Preferences. | 2,023 | 19 | 4 | 0 | ed43175c3bd2e197de2eb4558528c09017c23c17 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 5 | 基础 AI 理论 |
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling. | 2,023 | 3 | 0 | 0 | 123c93e88781f2602e8558b87e80c88c4b3ab529 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 表示学习与优化方法 |
Accelerating the Training of Video Super-resolution Models. | 2,023 | 4 | 2 | 0 | 060bac73d0c6cab65b91f77364645a0afe142d38 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 计算机视觉 |
Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping. | 2,023 | 2 | 1 | 0 | 05edd3c2ede087fa0fdfe8d2ecbf1aa95ce600f3 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 机器学习(含深度学习) |
Accommodating Audio Modality in CLIP for Multimodal Processing. | 2,023 | 16 | 6 | 0 | 98ab8260c98030109ba8467f52b13d075276cf0f | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 5 | 多模态学习 |
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. | 2,023 | 26 | 9 | 0 | 72a305df18fe9010374504bce7c0ec485809b7c3 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 4 | 8 | 强化学习与智能决策 |
Action-Conditioned Generation of Bimanual Object Manipulation Sequences. | 2,023 | 13 | 7 | 0 | 44d343bfa354e4afa7a3bed82a7831d677e3e210 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 强化学习与智能决策 |
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation. | 2,023 | 5 | 0 | 0 | 137330d3030f75b01c88c14e1164d9b0d8c2dc70 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 多模态学习 |
Actionness Inconsistency-Guided Contrastive Learning for Weakly-Supervised Temporal Action Localization. | 2,023 | 11 | 0 | 0 | fce2e326ec543ef51f6d6e0294ae21d5074320bc | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 计算机视觉 |
Active Token Mixer. | 2,023 | 22 | 2 | 1 | 391fecb4d4468f46d0fb19e60948830139ddefec | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 表示学习与优化方法 |
AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems. | 2,023 | 8 | 1 | 0 | 11389a70e115c21169f365f3e944f517cebfe555 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 强化学习与智能决策 |
Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection. | 2,023 | 17 | 8 | 1 | 7a30c72de1c89f3c1c38f8e4390699c86bb15626 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | 计算机视觉 |
Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness. | 2,023 | 16 | 3 | 1 | 677f0dbaeddbfce9a7afb5efb6703798e2c99e0f | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 4 | 表示学习与优化方法 |
Adaptive Dynamic Filtering Network for Image Denoising. | 2,023 | 62 | 17 | 2 | 6f14a642033b72454afbecdb90c82872d8085dd2 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 26 | 计算机视觉 |
Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation. | 2,023 | 15 | 3 | 1 | cbd86a65d38affa84976dbb968d89c58668c3bee | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 机器学习(含深度学习) |
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. | 2,023 | 23 | 7 | 1 | 624c0373019dabb9f5b69464c0f094013c2b101c | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | 机器学习(含深度学习) |
Adaptive Mixing of Auxiliary Losses in Supervised Learning. | 2,023 | 7 | 3 | 0 | 063acc1ea6ebeb4e4310e2990583f8fed253bf05 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 机器学习(含深度学习) |
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models. | 2,023 | 14 | 4 | 0 | 6282364a3a0486219e4878225b58ed850660ad4c | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 8 | 概率统计与推理基础 |
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. | 2,023 | 39 | 10 | 1 | f6274e6ba614b46d6283c775cfe4565e8ce50bc8 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 11 | 强化学习与智能决策 |
Adaptive Texture Filtering for Single-Domain Generalized Segmentation. | 2,023 | 6 | 3 | 0 | 8d475edd830f150b9a6aa3066524c77913510df8 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 计算机视觉 |
Adjective Scale Probe: Can Language Models Encode Formal Semantics Information? | 2,023 | 6 | 1 | 0 | 23073e785f52e6641a89ba15947910870da2b32a | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 自然语言处理 |
Adversarial Alignment for Source Free Object Detection. | 2,023 | 51 | 9 | 3 | 693a942fa34028de582d18642d73d57c70842303 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 21 | 计算机视觉 |
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness. | 2,023 | 33 | 6 | 1 | 6143e809cd2e9c7a18c3bc8819419fd3b02fbcf2 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 5 | 10 | 强化学习与智能决策 |
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks. | 2,023 | 35 | 17 | 0 | 1e0930a6c4ad4c62c725cfa35e76081eb971a83a | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | 12 | 表示学习与优化方法 |
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime. | 2,023 | 4 | 1 | 1 | 51c2714ab5dbc330619a1a96db994c9905900160 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 自然语言处理 |
Aesthetically Relevant Image Captioning. | 2,023 | 15 | 3 | 0 | 15d6ef576fb07bb5fc07fef6f63708e440396dd9 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 多模态学习 |
Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models. | 2,023 | 2 | 1 | 0 | 1ff504e8d0ed00d8e9d6dd317d3b7572d1f3ecaa | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 计算机视觉 |
Almost Cost-Free Communication in Federated Best Arm Identification. | 2,023 | 12 | 2 | 0 | 52382817395bb0c6b7c07e1d41dcb2ce7e30ea1a | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 3 | 强化学习与智能决策 |
AlphaRoute: Large-Scale Coordinated Route Planning via Monte Carlo Tree Search. | 2,023 | 9 | 2 | 1 | b39aecbf900ebdcc4846324ec887d981247df29f | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 强化学习与智能决策 |
Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows. | 2,023 | 13 | 1 | 4 | e0499cb8e5a94768e79b577c83fb464b5557d46f | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 表示学习与优化方法 |
Amodal Instance Segmentation via Prior-Guided Expansion. | 2,023 | 23 | 5 | 0 | 0c9b776483a0de5d919842c05b48c029a78b7399 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 计算机视觉 |
An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data. | 2,023 | 6 | 1 | 0 | 91691c66df6bde3d134137dcdc61580503fe7ab9 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 表示学习与优化方法 |
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An Improved Algorithm for Online Min-Sum Set Cover. | 2,023 | 2 | 0 | 0 | 0317a6788b14e4adf34fdced4826c6ca556b0dae | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 表示学习与优化方法 |
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