conftrace_

representation learning

6174 papers

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Also known as

WAV2VEC2.0 RL NRMS NDFS

Co-occurring keywords

contrastive learning (3979) self-supervised learning (3751) transfer learning (5442) neural network (6616) unsupervised learning (3255) graph neural network (3945) multimodal learning (4622) domain adaptation (4578) feature learning (1309) language model (4573)

Papers

Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning IJCAI 2023

Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments ICML 2023

Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series ICML 2023

Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation ICML 2023

SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching ICML 2023

Hyperbolic Representation Learning: Revisiting and Advancing ICML 2023

Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations ICML 2023

A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel ICML 2023

RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank ICML 2023

Effective Neural Topic Modeling with Embedding Clustering Regularization ICML 2023

Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation ICML 2023

How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding ICML 2023

Active Learning based Structural Inference ICML 2023

Rethinking Weak Supervision in Helping Contrastive Learning ICML 2023

Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data ICML 2023

Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression ICML 2023

InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models ICML 2023

The Acquisition of Physical Knowledge in Generative Neural Networks ICML 2023

Deep Graph Representation Learning and Optimization for Influence Maximization ICML 2023

Homomorphism AutoEncoder -- Learning Group Structured Representations from Observed Transitions ICML 2023

Fisher Information Embedding for Node and Graph Learning ICML 2023

Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning ICML 2023

Overcoming Simplicity Bias in Deep Networks using a Feature Sieve ICML 2023

Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels ICML 2023

On the Stepwise Nature of Self-Supervised Learning ICML 2023