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Representation Learning

2843 directly classified papers

Papers per year

Papers

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach NIPS 2022
Insights into Pre-training via Simpler Synthetic Tasks NIPS 2022
Masked Prediction: A Parameter Identifiability View NIPS 2022
GlanceNets: Interpretable, Leak-proof Concept-based Models NIPS 2022
Learning Options via Compression NIPS 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts NIPS 2022
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness NIPS 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs NIPS 2022
Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited NIPS 2022
Convergent Representations of Computer Programs in Human and Artificial Neural Networks NIPS 2022
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models NIPS 2022
FACT: Learning Governing Abstractions Behind Integer Sequences NIPS 2022
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning NIPS 2022
$\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay NIPS 2022
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators NIPS 2022
Learning Chaotic Dynamics in Dissipative Systems NIPS 2022
Weakly Supervised Representation Learning with Sparse Perturbations NIPS 2022
Temporal Context Matters: Enhancing Single Image Prediction With Disease Progression Representations CVPR 2022
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching CVPR 2022
Learning Pixel Trajectories With Multiscale Contrastive Random Walks CVPR 2022
Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations CVPR 2022
LC-FDNet: Learned Lossless Image Compression With Frequency Decomposition Network CVPR 2022
DyRep: Bootstrapping Training With Dynamic Re-Parameterization CVPR 2022
STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction CVPR 2022
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods EMNLP 2022