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← Learning Types
Deep Learning
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Learning Types
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Representation Learning
4516 directly classified papers
Papers per year
2006: 7
2007: 2
2008: 7
2009: 1
2010: 5
2011: 9
2012: 20
2013: 37
2014: 51
2015: 47
2016: 86
2017: 197
2018: 322
2019: 499
2020: 569
2021: 521
2022: 608
2023: 552
2024: 535
2025: 432
2026: 9
Papers
Whose Emotions and Moral Sentiments do Language Models Reflect?
ACL 2024
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
NIPS 2024
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
NIPS 2024
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models
ACL 2024
Deterministic Reversible Data Augmentation for Neural Machine Translation
ACL 2024
Learning New Tasks from a Few Examples with Soft-Label Prototypes
ACL 2024
Simple Contrastive Multi-View Clustering with Data-Level Fusion
IJCAI 2024
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost
IJCAI 2024
A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task
ACL 2024
Kernel Readout for Graph Neural Networks
IJCAI 2024
Rethinking Correlation Learning via Label Prior for Open Set Domain Adaptation
IJCAI 2024
Instruction Embedding: Latent Representations of Instructions Towards Task Identification
NIPS 2024
Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations
ACL 2024
k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text
ACL 2024
Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings
ACL 2024
Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation
ACL 2024
Learning Structured Representations with Hyperbolic Embeddings
NIPS 2024
Transcendence: Generative Models Can Outperform The Experts That Train Them
NIPS 2024
Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models
ACL 2024
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
ACL 2024
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models
ACL 2024
Monotonic Representation of Numeric Attributes in Language Models
ACL 2024
Causal Estimation of Memorisation Profiles
ACL 2024
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples
ACL 2024
WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations
ACL 2024
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