Proposes a regularized Mahalanobis-based differential privacy mechanism for text, balancing privacy and utility with elliptical noise.

Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan et al.

Proposes Vision Transformer (ViT), applying pure self-attention to image patches, achieving state-of-the-art results on ImageNet after large-scale pretraining.

Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov et al.

Proposes XOR QA, a cross-lingual open-retrieval question answering framework using a 40K-question dataset across 7 languages, achieving up to 18.7 F1 score.

Akari Asai, Jungo Kasai, Jonathan H. Clark et al.

Proposes SapBERT, a self-alignment pretraining method leveraging UMLS for biomedical entity embeddings, achieving SOTA in entity linking.

Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng et al.

FUEL uses FIS plus hierarchical planning to make UAV exploration 3–8× faster on bridge and maze benchmarks.

Boyu Zhou, Yichen Zhang, Xinyi Chen et al.

Proposes Unlearning and Amnesiac Unlearning to efficiently remove sensitive data from trained neural networks, ensuring privacy and compliance.

Laura Graves, Vineel Nagisetty, Vijay Ganesh

SCOP introduces knockoff features as scientific control, achieving 57.8% parameter reduction and 60.2% FLOPs reduction on ResNet-101 with only 0.01% accuracy loss.

Yehui Tang, Yunhe Wang, Yixing Xu et al.

Introduces causal network motifs and tree-based clustering to identify heterogeneous spillover effects in social network A/B tests.

Yuan Yuan, Kristen M. Altenburger, Farshad Kooti

Introduced CoCLR algorithm, enhancing video representation learning via RGB and optical flow views, achieving 87.9% accuracy on UCF101.

Tengda Han, Weidi Xie, Andrew Zisserman

IRS-enhanced 3D UAV communication framework boosts eMBB and URLLC, achieving 15dB SNR gain and 1ms latency.

Qingqing Wu, Jie Xu, Yong Zeng et al.

Proposes a self-supervised geometric feature discovery framework with interpretable attention, achieving SOTA vehicle re-identification performance.

Ming Li, Xinming Huang, Ziming Zhang

Proposes a multi-agent DQN framework with K-means clustering for joint UAV trajectory and power optimization, boosting throughput in NOMA UAV networks.

Ruikang Zhong, Xiao Liu, Yuanwei Liu et al.

Introduces approximate information state framework for partial observation RL, enabling data-driven dynamic programming with performance guarantees.

Jayakumar Subramanian, Amit Sinha, Raihan Seraj et al.

FAST-LIO employs tightly-coupled iEKF to fuse 1200+ features with IMU, achieving real-time robustness in 25ms per step.

Wei Xu, Fu Zhang

RxR introduces a multilingual VLN dataset with dense spatiotemporal grounding, significantly improving navigation accuracy and generalization.

Alexander Ku, Peter Anderson, Roma Patel et al.

RELIC enforces invariance regularization to improve self-supervised representations, outperforming existing methods in robustness and out-of-distribution generalization.

Jovana Mitrovic, Brian McWilliams, Jacob Walker et al.

Proposes non-leaky single-spike temporal coding SNN, analyzes input-output relations, applies to intrusion detection, outperforming DNNs with 98% accuracy.

Shibo Zhou, Xiaohua Li

NeRF++ introduces inverted sphere parameterization and dual scene modeling, significantly improving large-scale unbounded scene view synthesis.

Kai Zhang, Gernot Riegler, Noah Snavely et al.

Proposes AdAGeo combining attention and few-shot unsupervised domain adaptation, achieving over 13% improvement in cross-domain visual place recognition with only 5 target images.

Gabriele Moreno Berton, Valerio Paolicelli, Carlo Masone et al.

Proposed SAU-Solver using UET to solve diverse math word problems, achieving 44.83% accuracy.

Jinghui Qin, Lihui Lin, Xiaodan Liang et al.