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Embedding Learning

3,753 papers

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Papers

Fast Optimal Locally Private Mean Estimation via Random Projections NIPS 2023
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning NIPS 2023
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings NIPS 2023
Data-Informed Geometric Space Selection NIPS 2023
Lexinvariant Language Models NIPS 2023
Permutation Equivariant Neural Functionals NIPS 2023
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation NIPS 2023
FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding NIPS 2023
Undirected Probabilistic Model for Tensor Decomposition NIPS 2023
Uncovering Meanings of Embeddings via Partial Orthogonality NIPS 2023
CosNet: A Generalized Spectral Kernel Network NIPS 2023
TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials NIPS 2023
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities NIPS 2023
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings NIPS 2023
Learning to Tokenize for Generative Retrieval NIPS 2023
Noether Embedding: Efficient Learning of Temporal Regularities NIPS 2023
Geometry-Aware Adaptation for Pretrained Models NIPS 2023
Improving neural network representations using human similarity judgments NIPS 2023
Model-enhanced Vector Index NIPS 2023
Latent Space Translation via Semantic Alignment NIPS 2023
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems NIPS 2023
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning NIPS 2023
Joint Prompt Optimization of Stacked LLMs using Variational Inference NIPS 2023
RETVec: Resilient and Efficient Text Vectorizer NIPS 2023
For SALE: State-Action Representation Learning for Deep Reinforcement Learning NIPS 2023