Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Types
Machine Learning
›
Learning Types
›
Representation Learning
2843 directly classified papers
Papers per year
2002: 1
2005: 2
2006: 5
2007: 11
2008: 12
2009: 10
2010: 6
2011: 6
2012: 30
2013: 36
2014: 34
2015: 20
2016: 42
2017: 82
2018: 128
2019: 189
2020: 266
2021: 279
2022: 382
2023: 358
2024: 451
2025: 486
2026: 7
Papers
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
IJCAI 2024
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
NIPS 2024
On conditional diffusion models for PDE simulations
NIPS 2024
Continual learning of multi-modal dynamics with external memory
L4DC 2024
ReVideo: Remake a Video with Motion and Content Control
NIPS 2024
Transcoders find interpretable LLM feature circuits
NIPS 2024
An NCDE-based Framework for Universal Representation Learning of Time Series
IJCAI 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
NIPS 2024
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
NIPS 2024
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing
NIPS 2024
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
AAAI 2024
Graph neural networks and non-commuting operators
NIPS 2024
What Do Language Models Hear? Probing for Auditory Representations in Language Models
ACL 2024
Feedback control guides credit assignment in recurrent neural networks
NIPS 2024
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
NIPS 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
CVPR 2024
Controlled maximal variability along with reliable performance in recurrent neural networks
NIPS 2024
Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization
NIPS 2024
Improving Subgroup Robustness via Data Selection
NIPS 2024
Contrastive losses as generalized models of global epistasis
NIPS 2024
Markov Equivalence and Consistency in Differentiable Structure Learning
NIPS 2024
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs
AAAI 2024
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
NIPS 2024
ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
NIPS 2024
Contributing Dimension Structure of Deep Feature for Coreset Selection
AAAI 2024
<
1
…
34
35
36
…
114
>