Representation Learning

SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning NeurIPS 2024 Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products ICML 2024 Sub-Table Rescorer for Table Question Answering COLING 2024 Subword Attention and Post-Processing for Rare and Unknown Contextualized Embeddings NAACL 2024 Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning NeurIPS 2024 Subword Segmentation in LLMs: Looking at Inflection and Consistency EMNLP 2024 Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation AAAI 2024 Successor Features for Efficient Multi-Subject Controlled Text Generation ICML 2024 Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs ICLR 2024 Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction ICML 2024 Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures AAAI 2024 SuperPrimitive: Scene Reconstruction at a Primitive Level CVPR 2024 Supervised Anomaly Detection for Complex Industrial Images CVPR 2024 Supervised Kernel Thinning NeurIPS 2024 Supervised Matrix Factorization: Local Landscape Analysis and Applications ICML 2024 Suppressing Uncertainty in Gaze Estimation AAAI 2024 Supra-Laplacian Encoding for Transformer on Dynamic Graphs NeurIPS 2024 SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024 Surgical Feature-Space Decomposition of LLMs: Why, When and How? ACL 2024 SVD-AE: Simple Autoencoders for Collaborative Filtering IJCAI 2024 SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective CVPR 2024 SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors NeurIPS 2024 Swallowing the Bitter Pill: Simplified Scalable Conformer Generation ICML 2024 SWAN: SubWord Alignment Network for HMM-free word timing estimation in end-to-end automatic speech recognition Interspeech 2024 SwiftThief: Enhancing Query Efficiency of Model Stealing by Contrastive Learning IJCAI 2024