Learning by Self-Explaining
Fuente:
arXiv
Saved in:
| Main Authors: | Stammer, Wolfgang, Friedrich, Felix, Steinmann, David, Brack, Manuel, Shindo, Hikaru, Kersting, Kristian |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning to Intervene on Concept Bottlenecks
by: Steinmann, David, et al.
Published: (2023)
by: Steinmann, David, et al.
Published: (2023)
ActivationReasoning: Logical Reasoning in Latent Activation Spaces
by: Helff, Lukas, et al.
Published: (2025)
by: Helff, Lukas, et al.
Published: (2025)
LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking
by: Helff, Lukas, et al.
Published: (2026)
by: Helff, Lukas, et al.
Published: (2026)
Object Centric Concept Bottlenecks
by: Steinmann, David, et al.
Published: (2025)
by: Steinmann, David, et al.
Published: (2025)
V-LoL: A Diagnostic Dataset for Visual Logical Learning
by: Helff, Lukas, et al.
Published: (2023)
by: Helff, Lukas, et al.
Published: (2023)
Neural Concept Binder
by: Stammer, Wolfgang, et al.
Published: (2024)
by: Stammer, Wolfgang, et al.
Published: (2024)
GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning
by: Shindo, Hikaru, et al.
Published: (2026)
by: Shindo, Hikaru, et al.
Published: (2026)
A Typology for Exploring the Mitigation of Shortcut Behavior
by: Friedrich, Felix, et al.
Published: (2022)
by: Friedrich, Felix, et al.
Published: (2022)
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
by: Shindo, Hikaru, et al.
Published: (2024)
by: Shindo, Hikaru, et al.
Published: (2024)
DeiSAM: Segment Anything with Deictic Prompting
by: Shindo, Hikaru, et al.
Published: (2024)
by: Shindo, Hikaru, et al.
Published: (2024)
SLR: Automated Synthesis for Scalable Logical Reasoning
by: Helff, Lukas, et al.
Published: (2025)
by: Helff, Lukas, et al.
Published: (2025)
Learning Differentiable Logic Programs for Abstract Visual Reasoning
by: Shindo, Hikaru, et al.
Published: (2023)
by: Shindo, Hikaru, et al.
Published: (2023)
LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
by: Helff, Lukas, et al.
Published: (2024)
by: Helff, Lukas, et al.
Published: (2024)
SocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems
by: Shindo, Hikaru, et al.
Published: (2026)
by: Shindo, Hikaru, et al.
Published: (2026)
Neural Concept Verifier: Scaling Prover-Verifier Games via Concept Encodings
by: Turan, Berkant, et al.
Published: (2025)
by: Turan, Berkant, et al.
Published: (2025)
Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation
by: Steinmann, David, et al.
Published: (2024)
by: Steinmann, David, et al.
Published: (2024)
Synthesizing Visual Concepts as Vision-Language Programs
by: Wüst, Antonia, et al.
Published: (2025)
by: Wüst, Antonia, et al.
Published: (2025)
Pix2Code: Learning to Compose Neural Visual Concepts as Programs
by: Wüst, Antonia, et al.
Published: (2024)
by: Wüst, Antonia, et al.
Published: (2024)
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis
by: Struppek, Lukas, et al.
Published: (2022)
by: Struppek, Lukas, et al.
Published: (2022)
T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
by: Deiseroth, Björn, et al.
Published: (2024)
by: Deiseroth, Björn, et al.
Published: (2024)
AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
by: Deiseroth, Björn, et al.
Published: (2023)
by: Deiseroth, Björn, et al.
Published: (2023)
How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions
by: Brack, Manuel, et al.
Published: (2025)
by: Brack, Manuel, et al.
Published: (2025)
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
by: Mundt, Martin, et al.
Published: (2025)
by: Mundt, Martin, et al.
Published: (2025)
Fodor and Pylyshyn's Legacy: Still No Human-like Systematic Compositionality in Neural Networks
by: Woydt, Tim, et al.
Published: (2025)
by: Woydt, Tim, et al.
Published: (2025)
LEDITS++: Limitless Image Editing using Text-to-Image Models
by: Brack, Manuel, et al.
Published: (2023)
by: Brack, Manuel, et al.
Published: (2023)
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
by: Wüst, Antonia, et al.
Published: (2024)
by: Wüst, Antonia, et al.
Published: (2024)
Making deep neural networks right for the right scientific reasons by interacting with their explanations
by: Schramowski, Patrick, et al.
Published: (2020)
by: Schramowski, Patrick, et al.
Published: (2020)
EXPIL: Explanatory Predicate Invention for Learning in Games
by: Sha, Jingyuan, et al.
Published: (2024)
by: Sha, Jingyuan, et al.
Published: (2024)
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning
by: Delfosse, Quentin, et al.
Published: (2024)
by: Delfosse, Quentin, et al.
Published: (2024)
Deep Classifier Mimicry without Data Access
by: Braun, Steven, et al.
Published: (2023)
by: Braun, Steven, et al.
Published: (2023)
Human-Allied Relational Reinforcement Learning
by: Darvishvand, Fateme Golivand, et al.
Published: (2025)
by: Darvishvand, Fateme Golivand, et al.
Published: (2025)
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning
by: Kohler, Hector, et al.
Published: (2024)
by: Kohler, Hector, et al.
Published: (2024)
Hyperparameter Optimization via Interacting with Probabilistic Circuits
by: Seng, Jonas, et al.
Published: (2025)
by: Seng, Jonas, et al.
Published: (2025)
Tractable Representation Learning with Probabilistic Circuits
by: Braun, Steven, et al.
Published: (2025)
by: Braun, Steven, et al.
Published: (2025)
Deep Reinforcement Learning via Object-Centric Attention
by: Blüml, Jannis, et al.
Published: (2025)
by: Blüml, Jannis, et al.
Published: (2025)
Exploring the Adversarial Capabilities of Large Language Models
by: Struppek, Lukas, et al.
Published: (2024)
by: Struppek, Lukas, et al.
Published: (2024)
Beyond Overcorrection: Evaluating Diversity in T2I Models with DivBench
by: Friedrich, Felix, et al.
Published: (2025)
by: Friedrich, Felix, et al.
Published: (2025)
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
by: Hintersdorf, Dominik, et al.
Published: (2024)
by: Hintersdorf, Dominik, et al.
Published: (2024)
Recursive Inference Machines for Neural Reasoning
by: Komisarczyk, Mieszko, et al.
Published: (2026)
by: Komisarczyk, Mieszko, et al.
Published: (2026)
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
by: Delfosse, Quentin, et al.
Published: (2024)
by: Delfosse, Quentin, et al.
Published: (2024)
Similar Items
-
Learning to Intervene on Concept Bottlenecks
by: Steinmann, David, et al.
Published: (2023) -
ActivationReasoning: Logical Reasoning in Latent Activation Spaces
by: Helff, Lukas, et al.
Published: (2025) -
LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking
by: Helff, Lukas, et al.
Published: (2026) -
Object Centric Concept Bottlenecks
by: Steinmann, David, et al.
Published: (2025) -
V-LoL: A Diagnostic Dataset for Visual Logical Learning
by: Helff, Lukas, et al.
Published: (2023)