MLSP-8: Learning |
Session Type: Poster |
Time: Tuesday, 8 June, 16:30 - 17:15 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Zhong Meng, Microsoft Corporation |
MLSP-8.1: LEARNING DISCRIMINATIVE FEATURES FOR SEMI-SUPERVISED ANOMALY DETECTION |
Zhe Feng; Nanjing University |
Jie Tang; Nanjing University |
Yishun Dou; Nanjing University |
Gangshan Wu; Nanjing University |
MLSP-8.2: RGLN: ROBUST RESIDUAL GRAPH LEARNING NETWORKS VIA SIMILARITY-PRESERVING MAPPING ON GRAPHS |
Jiaxiang Tang; Peking University |
Xiang Gao; Peking University |
Wei Hu; Peking University |
MLSP-8.3: SEQUENCE-LEVEL SELF-TEACHING REGULARIZATION |
Eric Sun; Microsoft Corporation |
Liang Lu; Microsoft Corporation |
Zhong Meng; Microsoft Corporation |
Yifan Gong; Microsoft Corporation |
MLSP-8.4: WEARING A MASK: COMPRESSED REPRESENTATIONS OF VARIABLE-LENGTH SEQUENCES USING RECURRENT NEURAL TANGENT KERNELS |
Sina Alemohammad; Rice University |
Hossein Babaei; Rice University |
Randall Balestriero; Rice University |
Matt Y. Cheung; Rice University |
Ahmed Imtiaz Humayun; Rice University |
Daniel LeJeune; Rice University |
Naiming Liu; Rice University |
Lorenzo Luzi; Rice University |
Jasper Tan; Rice University |
Zichao Wang; Rice University |
Richard Baraniuk; Rice University |
MLSP-8.5: H-GPR: A HYBRID STRATEGY FOR LARGE-SCALE GAUSSIAN PROCESS REGRESSION |
Naiqi Li; Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
Yinghua Gao; Shenzhen International Graduate School, Tsinghua University |
Wenjie Li; Shenzhen International Graduate School, Tsinghua University |
Yong Jiang; Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
Shu-Tao Xia; Shenzhen International Graduate School, Tsinghua University |
MLSP-8.6: LEARNING OPTIMAL LATTICE CODES FOR MIMO COMMUNICATIONS |
Laia Amorós; Aalto University |
Mikko Pitkänen; Aalto University |