Action-conditioned Root mean squared Q-Functions (ARQ) is a novel backprop-free value estimation method that applies a goodness function and action conditioning for local reinforcement learning.
Published: 2025-10-08
Midway Network is a new self-supervised learning architecture that learns strong visual representations for both object recognition and motion understanding solely from natural videos by modeling latent dynamics.
Published: 2025-10-07
StreamMem is a query-agnostic KV cache memory mechanism for streaming video understanding.
Published: 2025-08-21
Context Tuning is a simple and effective method to significantly enhance few-shot adaptation of LLMs without fine-tuning model parameters.
Published: 2025-07-06
Discrete-JEPA extends the latent predictive coding JEPA framework with semantic tokenization and complementary objectives for symbolic reasoning tasks.
Published: 2025-06-22
We provide a theoretical analysis of sample replay in over-parameterized continual linear regression, and we show that replay can provably increase forgetting in the worst case even though the network has the capacity to memorize all tasks.
Published: 2025-06-04
Memory Storyboard groups recent past frames into temporal segments and provides effective summarization of the past visual streams for memory replay.
Published: 2025-01-21
Our new benchmark, Daily Oracle, automatically generates question-answer (QA) pairs from daily news, challenging LLMs to predict "future" events based on pre-training data.
Published: 2024-11-13
We propose PooDLe, a self-supervised learning method that combines an invariance-based objective on pooled representations with a dense SSL objective that enforces equivariance to optical flow warping.
Published: 2024-08-20
