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 |