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Representation Learning

2843 directly classified papers

Papers per year

Papers

Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts NIPS 2024
Learning Macroscopic Dynamics from Partial Microscopic Observations NIPS 2024
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction NIPS 2024
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings NIPS 2024
FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions NIPS 2024
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient NIPS 2024
Identifying General Mechanism Shifts in Linear Causal Representations NIPS 2024
Gated Inference Network: Inference and Learning State-Space Models NIPS 2024
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-Centric Learning WACV 2024
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective NIPS 2024
D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning NIPS 2024
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction NIPS 2024
Neural Persistence Dynamics NIPS 2024
Semantics or spelling? Probing contextual word embeddings with orthographic noise ACL 2024
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning NIPS 2024
Fine-grained Control of Generative Data Augmentation in IoT Sensing NIPS 2024
Delving into the Reversal Curse: How Far Can Large Language Models Generalize? NIPS 2024
Learning Human-like Representations to Enable Learning Human Values NIPS 2024
Framework-Agnostic Semantically-Aware Global Reasoning for Segmentation WACV 2024
Alirector: Alignment-Enhanced Chinese Grammatical Error Corrector ACL 2024
Can We Continually Edit Language Models? On the Knowledge Attenuation in Sequential Model Editing ACL 2024
Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs NIPS 2024
Measuring Dejavu Memorization Efficiently NIPS 2024
Paraphrasing in Affirmative Terms Improves Negation Understanding ACL 2024
Efficiency for Free: Ideal Data Are Transportable Representations NIPS 2024