Papers
12094 papers
ICLR2024
In-Context Learning Dynamics with Random Binary Sequences
Summary pending...
In-Context LearningLarge Language ModelsInterpretability
ICLR2024
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
Summary pending...
zero-shot classificationpromptinggenerative classification
ICLR2024
RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation
Summary pending...
retrieval augmented language modellanguage modelingquestion answering
ICLR2024
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
Summary pending...
Reinforcement LearningNatural Language GenerationOffline Policy Gradients
ICLR2024
ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor
Summary pending...
Defense; DNN Transferability; Neural Architecture Search
ICLR2024
A Quadratic Synchronization Rule for Distributed Deep Learning
Summary pending...
distributed trainingLocal SGDlocal gradient methods
ICLR2024
SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models
Summary pending...
Large language modelskill evaluationLLM benchmark
ICLR2024
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning
Summary pending...
Offline reinforcement learninginstance-dependentleast-squares value iteration
ICLR2024
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances
Summary pending...
scientific computingdata-driven algorithm designonline learning
ICLR2024
Data Debugging with Shapley Importance over Machine Learning Pipelines
Summary pending...
data debuggingdata valuationshapley value
ICLR2024
Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
Summary pending...
meta-learningBayesian optimizationrisk measure
ICLR2024
BooookScore: A systematic exploration of book-length summarization in the era of LLMs
Summary pending...
summarizationevaluationlong context
ICLR2024
FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization
Summary pending...
Federated LearningAdaptive Gradient Methods
ICLR2024
PINNACLE: PINN Adaptive ColLocation and Experimental points selection
Summary pending...
Physics-informed Neural NetworksPINNsadaptive training points selection
ICLR2024
What Matters to You? Towards Visual Representation Alignment for Robot Learning
Summary pending...
Robot learningPreference learningVisual reward learning
ICLR2024
Deceptive Fairness Attacks on Graphs via Meta Learning
Summary pending...
graph learningfairnessadversarial attacks
ICLR2024
Energy-based Automated Model Evaluation
Summary pending...
Automated Model EvalutaionEnergyMeta-distribution
ICLR2024
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning
Summary pending...
Reinforcement LearningModel-based Reinforcement LearningOffline Reinforcement Learning
ICLR2024
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
Summary pending...
large language modelknowledge grounding
ICLR2024
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning
Summary pending...
alignmentlanguage modelinvariant learning