AAAI 2024 Papers

A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification

Fan Xu, Yu Zhao, Bingzhe Wu et al.

A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis

Rongchao Zhang, Yu Huang, Yiwei Lou et al.

Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption

Ziteng Cui, Lin Gu, Xiao Sun et al.

Aligner$^2$: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment

Zhihong Zhu, Xuxin Cheng, Yaowei Li et al.

Aligning Geometric Spatial Layout in Cross-View Geo-Localization via Feature Recombination

Qingwang Zhang, Yingying Zhu

ALISON: Fast and Effective Stylometric Authorship Obfuscation

Eric Xing, Saranya Venkatraman, Thai Le et al.

All Beings Are Equal in Open Set Recognition

Chaohua Li, Enhao Zhang, Chuanxing Geng et al.

All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation

Pragyan Banerjee, Abhinav Java, Surgan Jandial et al.

Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements

Max Springer, MohammadTaghi Hajiaghayi, Hadi Yami

A Local-Ascending-Global Learning Strategy for Brain-Computer Interface

Dongrui Gao, Haokai Zhang, Pengrui Li et al.

AltDiffusion: A Multilingual Text-to-Image Diffusion Model

Fulong Ye, Guang Liu, Xinya Wu et al.

AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization

Kun Wang, Zhiqiang Yan, Huang Tian et al.

Altruism in Facility Location Problems

Hau Chan, Minming Li, Houyu Zhou

Amalgamating Multi-Task Models with Heterogeneous Architectures

Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong et al.

AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion

Beibei Jing, Youjia Zhang, Zikai Song et al.

AMD: Autoregressive Motion Diffusion

Bo Han, Hao Peng, Minjing Dong et al.

Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion

Bowen Zhang, Qing Liu, Jianming Zhang et al.

AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection

Jingchun Zhou, Zongxin He, Kin-Man Lam et al.

A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation

Yongkang Wang, Xuan Liu, Feng Huang et al.

A Multimodal, Multi-Task Adapting Framework for Video Action Recognition

Mengmeng Wang, Jiazheng Xing, Boyuan Jiang et al.

Analytically Tractable Models for Decision Making under Present Bias

Yasunori Akagi, Naoki Marumo, Takeshi Kurashima

Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System

Ruining Zhang, Haoran Han, Maolong Lv et al.

An Approximate Skolem Function Counter

Arijit Shaw, Brendan Juba, Kuldeep S Meel

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention

Yehjin Shin, Jeongwhan Choi, Hyowon Wi et al.

An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction

Urchade Zaratiana, Nadi Tomeh, Pierre Holat et al.

Anchoring Path for Inductive Relation Prediction in Knowledge Graphs

Zhixiang Su, Di Wang, Chunyan Miao et al.

An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes

Amar Shah, Federico Mora, Sanjit A. Seshia

ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning

Yang YU, Danruo Deng, Furui Liu et al.

An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization

Yuze Tan, Hecheng Cai, Shudong Huang et al.

An Effective Polynomial Technique for Compiling Conditional Effects Away

Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain

Xiang He, Dongcheng Zhao, Yang Li et al.

An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs

Wei Zhou, Hong Huang, Ruize Shi et al.

An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment

Zhixue Fang, Xinrong Guo, Jingyin Lin et al.

An Empirical Study of CLIP for Text-Based Person Search

Cao Min, Yang Bai, ziyin Zeng et al.

A New Benchmark and Model for Challenging Image Manipulation Detection

Zhenfei Zhang, Mingyang Li, Ming-Ching Chang

A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning

Dongxiao He, Jitao Zhao, Cuiying Huo et al.

An Exercise in Tournament Design: When Some Matches Must Be Scheduled

Sushmita Gupta, Ramanujan Sridharan, Peter Strulo

Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios

Yuxin Wang, Zunlei Feng, Haofei Zhang et al.

An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning

Zhe Zhang, Xiaoyang Tan

An Information-Flow Perspective on Algorithmic Fairness

Samuel Teuber, Bernhard Beckert

An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations

Lulu Cao, Yufei Liu, Zhenzhong Wang et al.

AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model

Teng Hu, Jiangning Zhang, Ran Yi et al.

AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

Zhaopeng Gu, Bingke Zhu, Guibo Zhu et al.

A Non-parametric Graph Clustering Framework for Multi-View Data

An Optimal Transport View for Subspace Clustering and Spectral Clustering

Yuguang Yan, Zhihao Xu, Canlin Yang et al.

Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding

Yichi Zhang, Zhihao Duan, Ming Lu et al.

A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis

Tianshuo Peng, Zuchao Li, Ping Wang et al.

A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem

Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images

Qingping Zheng, Yuanfan Guo, Jiankang Deng et al.

Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching

Zhaohuai Liang, Changhe Li